About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In’s Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our “Beyond the App: Building the Future of Tech with AI & Data” Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

As a Sr. Data Analyst, Strategic Health Analytics, you will play a key role in supporting Clinical and Commercial business development through rigorous, evidence-based analysis. This role blends technical problem-solving with strategic thinking: shaping sound analytical approaches to ambiguous questions, executing analyses with rigor, and synthesizing findings into clear, decision-ready narratives for internal stakeholders and external-facing conversations.

This is a strong individual contributor role for someone who enjoys tackling complex business questions, identifying meaningful patterns in data, and translating analysis into actionable insight. You will also help make recurring analytical needs more scalable through reports, dashboards, models, and other self-serve solutions.

While prior healthcare domain experience is a plus, it is not required. We are looking for someone with strong analytical judgment, statistical fluency, and the ability to quickly build domain knowledge on the job.

What You’ll Do

• Partner with Clinical, Commercial, and Product stakeholders to identify core questions, translate them into clear analytical approaches and actionable answers
• Communicate credible, data-driven insights and recommendations clearly to technical and non-technical audiences
• Support customer, partner, and business development conversations with data-driven insights, thought partnership and accessible storytelling
• Analyze complex datasets using SQL, Tableau, and other analytical tools to uncover trends, evaluate opportunities, and inform strategic decisions
• Apply statistical and analytical methods to generate actionable insights across clinical, commercial, product, and market-related questions
• Identify recurring analytical needs and help turn them into scalable reports, dashboards, models, and self-serve tools where possible
• Build and maintain reliable analytical assets that integrate multiple data sources and improve accessibility, consistency, and trust in the data
• Mentor peers and contribute to a culture of rigor, curiosity, and strong analytical communication within the team

What We’re Looking For

• 7+ years of experience in analytics, data analysis, research, or related quantitative roles
• Strong SQL skills and experience working with large, complex datasets
• Experience with Tableau or similar BI and visualization tools
• Proficiency in Python or a similar analytical programming language
• Strong analytical and statistical foundation, including experience with methods such as regression, hypothesis testing, experimentation, or related approaches
• Proven ability to take ambiguous questions, structure a sound analytical approach, and deliver clear, convincing insights
• Excellent verbal and written communication skills, with the ability to translate complex analysis into accessible narratives for a range of stakeholders
• Proven ability to manage multiple projects and work effectively across functions
• Interest in learning the healthcare domain and applying analytics to strategic healthcare questions

Nice to have

• Familiarity with the US healthcare ecosystem, including payer, reimbursement, utilization, or clinical performance concepts
• Experience supporting customer-facing, commercial, or partnership-oriented analytics
• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best practices

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$789,400—$986,750 MXN

📍 Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics

About the Role

We are looking for a highly strategic Senior or Staff Data Scientist to design, build, and own the end-to-end data framework that defines our business health: Unit Economics.

In this role, you won’t just build standalone models; you will connect the dots between customer acquisition, multi-product lifecycles, complex healthcare reimbursement cycles, and operational cost structures. Your work will serve as the financial and analytical source of truth, directly influencing how we allocate marketing spend, price our products, manage retention, and project long-term profitability.

You will sit at the intersection of Data Science, Finance, Marketing, and Operations, acting as a critical strategic partner to executive leadership.

What You’ll Do

Unified LTV & Reimbursement Modeling

• Bridge Estimated vs. Realized LTV: Develop sophisticated lifetime value models that account for the volatility of healthcare reimbursements and the time value of money.
• Predictive Reimbursement Rates: Build models to predict actual reimbursement rates across a complex mix of insurance allowables and self-pay tracks, closing the gap between theoretical revenue and cash-in-hand.
• Integrate Margin Constraints: Establish the foundational frameworks that incorporate operational realities—such as state-by-state clinician licensing costs and wage ranges—ensuring our LTV calculations reflect true contribution margins.

Cross-Product Attribution & Portfolio Optimization

• Blended Contribution Margin: Optimize “basket composition” and cross-sell dynamics between our physical supplement lines and clinical services to maximize total margin.
• Multi-Touch & Cross-Product Attribution: Build advanced attribution models (Markov chain, ML-based) to quantify the interplay between product lines—specifically tracking how supplement purchases drive clinical visit adoption and vice versa.
• Price Elasticity: Design and analyze pricing experiments for supplement products to identify optimal margin-maximizing price points without degrading long-term subscriber retention.

Causal Inference & Growth Intelligence

• Influence the CAC Decision Curve: Utilize your LTV and margin frameworks to influence the marginal LTV curves that marketing uses, helping them determine the exact point of diminishing returns on ad spend.
• Causal Churn Intervention: Move beyond simple churn prediction. Build uplift models to identify which at-risk customers will respond positively to specific interventions (e.g., targeted offers, clinical outreach), preserving margin by avoiding unnecessary discounting on “sure things” or “lost causes.”

Strategic Macro-Simulation

• Systemic Stress-Testing: Build stochastic (Monte Carlo) macro-simulations to help leadership and finance stress-test our business model. You will answer questions like: “If a major insurance payer shifts an allowable rate in a key state, how does that impact our payback period and portfolio margin?”

What You Bring

Technical Skills

• Advanced Modeling & Stats: Mastery of predictive modeling and Causal Inference techniques (e.g., uplift modeling, propensity score matching, synthetic controls, or diff-in-diff).
• Production-Grade Engineering: Proven experience architecture - building, deploying, and maintaining production-grade machine learning models. You write clean, modular, and well-tested code that integrates seamlessly into downstream workflows.
• Expert-Level Evaluation: Deep expertise in model evaluation methodologies, backtesting, and validation. Because your models directly impact financial forecasts and pricing decisions, you have a rigorous approach to error analysis, cross-validation, and drift detection.
• Attribution & LTV: Proven track record building attribution models (algorithmic or heuristic) and handling survival analysis for churn and retention forecasting.
• Programming & Querying: Advanced proficiency in Python for complex statistical analysis, alongside expert-level SQL for manipulating large data streams.
• Simulation Design: Experience structuring systemic business simulations or stochastic modeling.
• Modern AI Workflow: Active adoption and mastery of Large Language Models (LLMs) and generative AI tools within your personal development workflow to accelerate coding, debugging, documentation, and prototyping.

Analytical Capabilities

• Unit Economics Intuition: You have a deep, near-obsessive understanding of the relationship between CAC, LTV, payback periods, gross margins, and contribution margins.
• Business Acumen: The ability to translate complex statistical outputs into clean, actionable frameworks for the CFO, CMO, and executive leaders. You know how to influence cross-functional roadmaps with data.
• Strategic Problem Structuring: Ability to take vague, complex business questions and break them down into answerable, high-impact analytical components.

Experience

• 8+ years of experience delivering high-impact data science solutions.
• Master’s or PhD in Economics, Econometrics, Applied Statistics, or a related quantitative discipline.
• Ideally, your background includes time in Marketplaces, Healthcare operations, or D2C subscription businesses.
• Demonstrated progression in scope and impact, with a history of acting as a strategic partner to finance and operations teams.

Interview Process:

Recruiter Screen- 30 mins

Hiring Manager Screen- 45 mins

Technical Screen- 1hr

Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto

At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U.S. without current or future sponsorship needs.

The Salary range base salary is 210-240K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits.

While you’re waiting for us to review your portfolio, here’s some fun content to check out 🎥

https://www.youtube.com/watch?v=1px7i6MVjNg

#LI-PS1

At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs.

Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com.

Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history.

Please find our CCPA Privacy Notice for California Candidates here.

Location: London

Weekly office requirement: Wednesdays – weekly

Employment type: Fixed-term contract – Maternity cover

Seniority level: Mid-Senior

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for a Senior Insight Manager to play a key role in our Insight Services team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Senior Insight Manager you’ll lead a team of analysts focused on uncovering data-driven narratives that shape how brands understand and engage their audiences. You’ll oversee large-scale reporting projects, transforming GWI’s rich datasets into compelling insights, reports, and presentations that surface the unexpected and sharpen client strategy. You’ll also partner closely with Revenue teams, contributing to RFPs and proposals to support a strong pipeline of new opportunities.

A few things you’ll be responsible for:

👉 Lead and develop a team of analysts — overseeing deliverables for accuracy, quality, and efficiency while supporting their growth and development.

👉 Lead large-scale reporting projects for our biggest clients, surfacing trends and stories that align with their objectives.

👉 Own RFP and proposal responses to showcase GWI’s insight capabilities and support pipeline growth — including running client presentations, meetings, and workshops.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you:

👉 Proven experience managing projects and senior client relationships.

👉 A talent for data storytelling — translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new.

👉 Exceptional attention to detail and a flair for writing clear, engaging content.

👉 Proficiency in Microsoft Office and Google Slides; comfortable running client presentations, workshops, and meetings.

👉 Demonstrated line management experience, with a track record of developing analysts and managing team performance.

Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and they’re a big part of what we’re looking for in you.

What We Offer 🧘

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

• Time to recharge – 25 days’ annual leave, plus office closures over the holidays.
• Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.
• Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.
• Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.
• Career growth – Accredited learning, leadership development, and global career mobility.
• Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion 🫶

Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that’s extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We’re happy to discuss whatever would work best for you.

We actively encourage applications from underrepresented and marginalised communities.

At GWI, you’ll find a place to contribute meaningfully, grow professionally, and belong fully.

#li-hybrid

#LI-NIKOSSS1

Location: London, UK

Weekly office requirement: Minimum 1 day per week – Wednesdays

Employment type: Permanent Seniority level: Mid-Senior

At GWI we’re always looking for extraordinary people who thrive on making an extraordinary impact. Right now we’re looking for an Insight Manager to play a key role in our Insight Services team in London. If that’s you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.

Sounds great, what will I be doing? 🤔

As our Insight Manager you’ll be passionate about uncovering data-driven stories that shape how the world’s biggest brands understand their audiences. In this role, you’ll turn GWI’s rich datasets into compelling insights, reports, and presentations that reveal the unexpected and make our clients’ strategies sharper.

A few things you’ll be responsible for:

👉 Lead end-to-end insight delivery on client projects across regions.

👉 Analyse GWI datasets and bespoke research studies to surface trends and patterns that align with client objectives.

👉 Create high-quality deliverables that translate complex data into clear, compelling narratives — and present them confidently to clients and internal teams.

👉 Support the Vertical Lead on RFP responses, proposals, team operations, and mentoring junior analysts.

It’s also fun; shaking things up is what working for GWI is all about. You’ll need to be flexible, comfortable with continuous change, and working in a high-tempo environment.

What do I need to bring with me? 🧳

You’ll need to be able to demonstrate the core skills this role requires. You don’t have to tick all the boxes right away; the important thing is that you’re willing to learn. Here’s what the team will be looking for in you:

👉 Proven experience managing projects and clients.

👉 A talent for data storytelling — translating numbers into narratives and surfacing insights that challenge assumptions or reveal something new.

👉 Exceptional attention to detail and a flair for writing clear, engaging content.

👉 Proficiency in Microsoft Office and Google Slides; experience with survey platforms or analytics tools is a plus.

👉 Strong organisational and communication skills — comfortable running client presentations, managing multiple workstreams, and mentoring junior team members.

What We Offer 🧘

At GWI, you’ll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:

• Time to recharge – 25 days’ annual leave, plus office closures over the holidays.
• Health & wellbeing – Health cash plan, enhanced family benefits, carer days, and mental health support.
• Financial benefits – Competitive salary, 4% pension matching, and recognition programs that celebrate success.
• Flexibility & balance – Flexitime, early Friday finishes, hybrid and remote options, plus a “work from home” budget.
• Career growth – Accredited learning, leadership development, and global career mobility.
• Community & impact – DE&I initiatives, volunteering opportunities, donation matching, and payroll giving.

Put all that together and GWI is the friendliest, most fulfilling place any of us has ever worked.

Diversity, Equity & Inclusion 🫶

Diversity is fundamental to who we are—as a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver.

As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring process—whether that’s extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. We’re happy to discuss whatever would work best for you.

We actively encourage applications from underrepresented and marginalised communities.

At GWI, you’ll find a place to contribute meaningfully, grow professionally, and belong fully.

#li-hybrid

#LI-NIKOSSS1

About Us

SimplePractice is headquartered in Los Angeles, California, but we have team members who work and live across the United States, Dominican Republic, Mexico City, and Ukraine.

At SimplePractice, we are improving access to quality care by equipping health and wellness clinicians with all the tools they need to thrive in private practice.

More than 250,000 providers trust SimplePractice to build their business through our industry-leading software with powerful tools that simplify every part of practice management. From admin work to clinical care, our suite of innovative solutions work together to reduce administrative burden—empowering solo and small group practitioners to thrive alongside their clients.

Award-winning and people-first, SimplePractice is shaping the future of health tech. Recognized by MedTech Breakthrough, the Digital Health Awards, Best Places to Code in Mexico and Built In’s Best Places to Work.

Our Culture

At SimplePractice, culture is our foundation. It influences the way we work, how we serve our customers, and how we approach accomplishing our mission. We have five core values that we strive to embody every day:

• We think big
• We take simplicity seriously
• We come as we are
• We act with humility
• We are built on trust

Culture is everyone’s responsibility at SimplePractice. Our culture is what drives us to do better for our teammates and customers.

Connection and collaboration are also key to our success. You will work with our talented multi-national teams and have opportunities to participate in onsites in both the US and Mexico.

🚀 Meet us in CDMX!

Want to meet the team before you apply? Join us on May 28th for our “Beyond the App: Building the Future of Tech with AI & Data” Meet-up in collaboration with RubyCDMX.

Talk AI, Data, and Engineering with our leads over drinks! 🍺 👉 RSVP here: https://luma.com/32jeyopv

The Role

As a Sr. Data Analyst, Strategic Health Analytics, you will play a key role in supporting Clinical and Commercial business development through rigorous, evidence-based analysis. This role blends technical problem-solving with strategic thinking: shaping sound analytical approaches to ambiguous questions, executing analyses with rigor, and synthesizing findings into clear, decision-ready narratives for internal stakeholders and external-facing conversations.

This is a strong individual contributor role for someone who enjoys tackling complex business questions, identifying meaningful patterns in data, and translating analysis into actionable insight. You will also help make recurring analytical needs more scalable through reports, dashboards, models, and other self-serve solutions.

While prior healthcare domain experience is a plus, it is not required. We are looking for someone with strong analytical judgment, statistical fluency, and the ability to quickly build domain knowledge on the job.

What You’ll Do

• Partner with Clinical, Commercial, and Product stakeholders to identify core questions, translate them into clear analytical approaches and actionable answers
• Communicate credible, data-driven insights and recommendations clearly to technical and non-technical audiences
• Support customer, partner, and business development conversations with data-driven insights, thought partnership and accessible storytelling
• Analyze complex datasets using SQL, Tableau, and other analytical tools to uncover trends, evaluate opportunities, and inform strategic decisions
• Apply statistical and analytical methods to generate actionable insights across clinical, commercial, product, and market-related questions
• Identify recurring analytical needs and help turn them into scalable reports, dashboards, models, and self-serve tools where possible
• Build and maintain reliable analytical assets that integrate multiple data sources and improve accessibility, consistency, and trust in the data
• Mentor peers and contribute to a culture of rigor, curiosity, and strong analytical communication within the team

What We’re Looking For

• 7+ years of experience in analytics, data analysis, research, or related quantitative roles
• Strong SQL skills and experience working with large, complex datasets
• Experience with Tableau or similar BI and visualization tools
• Proficiency in Python or a similar analytical programming language
• Strong analytical and statistical foundation, including experience with methods such as regression, hypothesis testing, experimentation, or related approaches
• Proven ability to take ambiguous questions, structure a sound analytical approach, and deliver clear, convincing insights
• Excellent verbal and written communication skills, with the ability to translate complex analysis into accessible narratives for a range of stakeholders
• Proven ability to manage multiple projects and work effectively across functions
• Interest in learning the healthcare domain and applying analytics to strategic healthcare questions

Nice to have

• Familiarity with the US healthcare ecosystem, including payer, reimbursement, utilization, or clinical performance concepts
• Experience supporting customer-facing, commercial, or partnership-oriented analytics
• Experience with dbt Cloud or similar tools
• Knowledge of ETL pipelines and data warehouse best practices

Benefits

We offer a competitive benefits program including:

• Privatized Medical, Dental & Vision Coverage
• Work From Home stipend
• Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays
• Monthly Meal Reimbursement
• Holiday Bonus, 15-day Aguinaldo
• Hybrid Work Schedule & Catered Lunch
• A relocation bonus for candidates joining us from a different city
• Employee Resource Groups (ERGs)

California Job Applicant Privacy Notice

Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the SimplePractice California Job Applicant Privacy Notice.

For more information about our privacy practices, please contact us at privacy@simplepractice.com.

Notice to Candidate:

SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (simplepractice.com/careers) and reputable job boards like our official LinkedIn or Indeed pages.

All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.

Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.

Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.

Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.

The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.

Base Compensation Range

$789,400—$986,750 MXN

About Rimini Street, Inc. Rimini Street, Inc. (Nasdaq: RMNI), a Russell 2000® Company, is a global provider of end-to-end enterprise software support, products and services, the leading third-party support provider for Oracle and SAP software and a Salesforce and AWS partner.

About the RoleWe are seeking a results-driven Business Analyst III to join Elsevier’s Clinical Learning Hub (CLH) team.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

• Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

• Defining detailed functional requirements including:

  • Source-to-target mappings
  • Transformation rules
  • Business logic
  • Data integration requirements

• Defining non-functional requirements such as performance, scalability, and serviceability.

• Interfacing with customers to understand data requirements and supporting product implementation in client environments.

• Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

• Creating and prioritizing user stories with Product Management and Engineering teams.

• Defining clear acceptance criteria based on product usage and business scenarios.

• Conducting internal product demos and supporting stakeholder demo activities.

• Defining functional test considerations for user stories and ensuring quality delivery.

• Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

• Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

• 4–8 years of relevant experience as a Business Analyst / Data Analyst

• Mandatory domain experience:

  • BFSI (Banking & Financial Services)
  • AML (Anti-Money Laundering) or Fraud Prevention

• Strong experience in:

  • Writing business use cases, scenarios, and functional test cases
  • Source-to-target data mapping and transformation rules
  • Data management and integration
  • SQL (must-have)

• Good understanding of:

  • Data schemas, metadata, and banking interfaces
  • Data quality, validation, and integration processes

• Experience in:

  • Converting business requirements into technical specifications
  • Agile methodologies (user stories, acceptance criteria, prioritization)

• Strong analytical and problem-solving skills with ability to influence stakeholders

• Excellent communication and presentation skills

• Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

• JIRA, Aha, MS Teams
• MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

• Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

• Defining detailed functional requirements including:

  • Source-to-target mappings
  • Transformation rules
  • Business logic
  • Data integration requirements

• Defining non-functional requirements such as performance, scalability, and serviceability.

• Interfacing with customers to understand data requirements and supporting product implementation in client environments.

• Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

• Creating and prioritizing user stories with Product Management and Engineering teams.

• Defining clear acceptance criteria based on product usage and business scenarios.

• Conducting internal product demos and supporting stakeholder demo activities.

• Defining functional test considerations for user stories and ensuring quality delivery.

• Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

• Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

• 4–8 years of relevant experience as a Business Analyst / Data Analyst

• Mandatory domain experience:

  • BFSI (Banking & Financial Services)
  • AML (Anti-Money Laundering) or Fraud Prevention

• Strong experience in:

  • Writing business use cases, scenarios, and functional test cases
  • Source-to-target data mapping and transformation rules
  • Data management and integration
  • SQL (must-have)

• Good understanding of:

  • Data schemas, metadata, and banking interfaces
  • Data quality, validation, and integration processes

• Experience in:

  • Converting business requirements into technical specifications
  • Agile methodologies (user stories, acceptance criteria, prioritization)

• Strong analytical and problem-solving skills with ability to influence stakeholders

• Excellent communication and presentation skills

• Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

• JIRA, Aha, MS Teams
• MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

Build the Future with Us — EquipmentShare is Hiring a Senior Data Analyst

At EquipmentShare, we’re not just filling a role — we’re assembling the best team on the planet to build something that’s never been built before. We’re on a mission to transform an industry that’s been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares.

We’re hiring a Senior Data Analys t to support our Corporate Headquarters in Columbia, MO and we’re looking for someone who’s ready to grow with us, bring energy and drive to their work, and help us build the future of construction. As a key member of the Pricing team, you will be responsible for shaping strategic decisions through advanced modeling and analysis. You will play a crucial role in extracting actionable insights from our data to drive informed decision-making. This role is particularly focused on Pricing optimization themes within rental and used fleet sales -  modeling and conducting comprehensive analyses to optimize our processes and enhance overall efficiency. This position is fully remote.

Primary Responsibilities

• Apply operations research methodologies to identify opportunities for process improvement and optimization, as well as maximize revenue.
• Utilize statistical techniques to analyze large datasets and extract meaningful insights.
• Develop and implement modeling to support business decision making based on stakeholder-driven requirements.
• Identify key performance indicators (KPIs) and develop reports and dashboards to monitor and communicate business performance.
• Lead strategy on complex business challenges using data driven approaches, and is prepared to defend your opinion on recommendations.
• Produce reports and models for senior leaders and other key team members
• Identify trends, correlations and patterns in data, and present findings to stakeholder
• Take an active role in coaching and mentoring more junior team members

Why EquipmentShare?

Because we do things differently — and we think you’ll feel it from day one. We’re a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn’t just run our business — it also makes your job easier, safer, and more connected. Whether you’re behind the wheel, under the hood, leading a branch, or closing deals — tech supports you, and you drive us forward.

We’re a team of problem-solvers, go-getters, and builders. And we’re looking for teammates who take pride in doing meaningful work and want to be part of building something special.

Perks & Benefits

• Competitive compensation
• Full medical, dental, and vision coverage for full-time employees
• Generous PTO + paid holidays
• 401(k) + company match
• Gym membership stipend + wellness programs (earn PTO and prizes!)
• Company events and food truck nights
• 16 hours of paid volunteer time per year — give back to the community you call home
• Career advancement, leadership training, and professional development opportunities

About You

You want to be part of a team that’s not just changing an industry for the sake of change — we’re transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you’re excited about the opportunity to grow within a fast-paced, mission-driven environment.

We’re looking for people who:

• See challenges as opportunities
• Embrace change and continuous improvement
• Bring energy, effort, and optimism every day

Skills & Qualifications

• ntermediate SQL & Python/R Required
• Experience in applied statistics and communicating and presenting results to a lay audience
• Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results
• Strong problem solving skills
• Detail orientated and can prioritize workload to meet project deadlines

Preferred Qualifications

• Experience with machine learning algorithmsKnowledge of Equipment Sales and Equipment Rental Pricing concepts

Education and Experience

• At least 6 years of experience in a data analytics role, with a focus on operations research and modeling.
• Bachelor’s degree in Math, Engineering, Statistics, Business Intelligence or other technical field.
• Must be qualified to work in the United States

Physical Requirements

• Must be able to sit for prolonged periods at a desk and work on a computer.
• Must be able to lift up to 5 pounds at times.

A Workplace For All

At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative — A Workplace For All — is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.

We value different backgrounds, talents, and perspectives. We want you to feel like you belong here — because you do.

EquipmentShare is an EOE M/F/D/V.

Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.

At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what’s the role all about?

We are looking for a talented and motivated Senior Business Analyst (AML / IFM) to join our NICE Actimize Professional Services team in Pune. In this role, you will work closely with Product Management, R&D, Architecture, and customer stakeholders to translate business needs into detailed functional and data-driven requirements.

You will play a critical role in implementing leading financial crime and compliance solutions, helping global organizations detect and prevent money laundering and fraud using advanced analytics and AI-driven platforms.

If you are passionate about understanding data, defining business logic, and delivering impactful fintech solutions, this role offers an exciting opportunity to work on high-scale, mission-critical systems.

How will you make an impact?

You will collaborate with cross-functional teams and customers to deliver robust AML/Fraud solutions by:

• Working with Project Managers, Architects, Product Managers, R&D teams, and third-party vendors to understand high-level design and translate it into detailed requirements.

• Defining detailed functional requirements including:

  • Source-to-target mappings
  • Transformation rules
  • Business logic
  • Data integration requirements

• Defining non-functional requirements such as performance, scalability, and serviceability.

• Interfacing with customers to understand data requirements and supporting product implementation in client environments.

• Facilitating communication across teams and ensuring alignment between product, engineering, and customer needs.

• Creating and prioritizing user stories with Product Management and Engineering teams.

• Defining clear acceptance criteria based on product usage and business scenarios.

• Conducting internal product demos and supporting stakeholder demo activities.

• Defining functional test considerations for user stories and ensuring quality delivery.

• Supporting Customer Support, Product, and Presales teams in resolving product-related queries.

• Providing product improvement recommendations aligned with strategic goals.

Have you got what it takes?

• 4–8 years of relevant experience as a Business Analyst / Data Analyst

• Mandatory domain experience:

  • BFSI (Banking & Financial Services)
  • AML (Anti-Money Laundering) or Fraud Prevention

• Strong experience in:

  • Writing business use cases, scenarios, and functional test cases
  • Source-to-target data mapping and transformation rules
  • Data management and integration
  • SQL (must-have)

• Good understanding of:

  • Data schemas, metadata, and banking interfaces
  • Data quality, validation, and integration processes

• Experience in:

  • Converting business requirements into technical specifications
  • Agile methodologies (user stories, acceptance criteria, prioritization)

• Strong analytical and problem-solving skills with ability to influence stakeholders

• Excellent communication and presentation skills

• Ability to multitask, prioritize, and work in fast-paced environments

Preferred Tools & Technologies:

• JIRA, Aha, MS Teams
• MS Excel, MS Access, MS Visio

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:11223

Reporting into: Director

Role Type: Individual Contributor

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...

About TruelogicAt Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of...

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment...

About the role

We’re looking for a Sr. Growth Product Data Scientist to partner with our Growth Product and Engineering teams to drive measurable impact across the member journey — from acquisition to conversion through long-term retention. You’ll turn data into the decisions that shape how millions of members discover, direct deposit, and get value from Chime.

This role sits at the intersection of product, data, and experimentation. You’ll own funnels end-to-end, design and analyze A/B tests, and translate ambiguous business questions into clear, prioritized recommendations that ship.

In this role, you will work closely with product managers, design, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and go up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Operate as an independent thought partner to Product, Engineering, and Design — helping shape strategy, not just measure it. You’ll proactively identify opportunities and risks, framing the right questions before they’re even asked.
• Work with the team to develop a rich program of experimentation and A/B testing to improve member product experiences, including metric creation, experiment design, power analysis, and analysis of experiment results.
• Drive data-informed decision making within Growth org by equipping PMs and engineers with self-service analytics tools, and conducting ad hoc analyses and causal studies for the team.
• Use advanced statistical methods for causal inference, as well as time-series and other forecasting techniques, to solve product questions for the team. Occasionally apply machine learning methods for problems such as customer segmentation.
• Build metrics to measure user funnels, product engagement, and retention, and use those metrics to help brainstorm potential product experiments to drive improvements in them.
• Help the team establish high-quality eventing to allow the tracking of detailed user behaviors along customer journeys through Chime’s mobile app.
• Develop and evolve team metrics that define what “good” looks like — ensuring that we optimize for long-term member and business value – and build operational dashboards to track business and product health.
• Translate complex analytical findings into compelling, executive-ready narratives that inspire action and alignment across teams.
• Develop robust data pipelines in dbt for your team, and continuously improve the quality and accessibility of customer data.

To thrive in this role, you have

• 5-7 years of relevant hands-on experience in product or business analytics roles (FinTech a plus).
• Expert-level SQL ability and proficiency in Python.
• Broad knowledge of applied statistics, experimental design, and analysis of A/B tests. Demonstrated experience with machine learning techniques for applied business use cases.
• Demonstrated experience acting as a trusted advisor to senior cross-functional partners — influencing decisions through both data and judgment.
• A strong bias toward proactive problem discovery. You don’t wait for tickets — you explore data, spot patterns, and bring forward opportunities that meaningfully change product direction.
• Strong business intuition and judgment, and experience applying prioritization frameworks to your work (e.g., RICE, Eisenhower matrix).
• Exceptional data storytelling and data visualization ability. Experience with Hex and Looker
• Familiarity with building data pipelines using tools like dbt or Airflow.
• Familiarity with AI coding tools (such as Claude Code and Cursor).

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs

About the role

As a Sr. Trust & Safety Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build security awareness and adoption, keeping our members and Chime safe. Trust & Safety organization’s mission is to make Chime the most trusted financial partner by safeguarding member assets, ensuring regulatory excellence, and enhancing the tools and processes that protect our community, while delivering a seamless experience that works reliably for our members. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

About the role

As a Sr. Spending Product Data Scientist, you will have the opportunity to develop, test, launch and scale member banking experience products that build products that make Chime banking the best place to spend, save and invest. Spending XFN organization’s mission is to deliver industry-leading spending products that members want to keep top of wallet. Our spending products help our members spend and manage their money, offering unmatched simplicity, rewards, and tools that bring them financial progress. Through experimentation, user behavioral analysis, sophisticated statistical and data science modeling, and dashboards development, you will surface product insights and recommendations that will increase engagement, and retention of our members.

In this role, you will work closely with product managers, risk, engineers, product & lifecycle marketing, and operational stakeholders to foster a data-driven product development culture, advise our product roadmaps, and build a deep understanding of member behavior.

The base salary offered for this role and level of experience will begin at $133,000 and up to $185,000. Full-time employees are also eligible for a bonus, competitive equity package, and benefits. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

In this role, you can expect to

• Partner widely with product, engineering, research, and design to translate your insights to guide product development. You’ll use data to help the organization understand how members are interacting with Chime and convert that to business and experience implications.
• Lead experimentation by providing mentorship on how they should be run, defining success metrics and data requirements, evaluating impact, and providing strategic direction.
• Drive roadmap, analysis and metric ideation, and strategic discussions with stakeholders.
• Keep a pulse on performance metrics and KPIs. You will be positioned to have a view of the business, product, and member base and encouraged to understand and explain trends.
• Foster a data-driven, test-and-learn culture with your passion for telling stories with data - not only surfacing insights but also presenting those insights and recommendations to encourage and inspire change.
• Collaborate with analysts and other functions to help bridge business questions and technical (data / computational) solutions.

To thrive in this role, you have

• 5-7 years in data-focused roles (post-internship), building analytical infrastructure and data tools that support a wide audience and facilitate decisions of trade-offs. B2C product analytics and FinTech experience preferred.
• Experience leading experimentation, statistical analysis, and sophisticated measurement (e.g. causal inference) E2E to guide decision making.
• Expertise in SQL - you innately translate business questions to queries, understand the edge cases of joins, and can explore a warehouse to find data most appropriate to the problem.
• Familiarity in R or python - you write reproducible code and have a tendency toward automation.
• Hands-on experience with BI/Visualization tools (Looker, Tableau, PowerBI, etc).
• Experience building metric frameworks to understand user behaviors.
• Ability to think holistically to solve business problems at hand and navigate through ambiguity.
• Excellent stakeholder management skills, with a record of working cross-functionally to achieve results.
• A focus on impact - you don’t stop with just recommendations but ensure to see work through to changing the business.

#LI-Hybrid #LI-AM1

A little about us

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it’s starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we’re proud to have helped millions unlock their financial potential.

We’re a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner’s mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress.

We know that to achieve our mission, we must earn and keep people’s trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren’t just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don’t—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What we offer for our full-time, regular employees

• 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. Whether you’re coming in regularly or are part of our fully remote program, you’ll stay engaged with your work and teammates.
• 💻 In-office perks including backup child, elder, and/or pet care, plus a subsidized commuter benefit to support your regular commute
• 💰 Competitive salary based on experience
• ✨ 401k match plus great medical, dental, vision, life, and disability benefits
• 🏝 Generous vacation policy and company-wide Chime Days, bonus company-wide paid days off
• 🫂 1% of your time off to support local community organizations of your choice
• 👟 Annual wellness stipend to use towards eligible wellness related expenses
• 👶 Up to 24 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
• 👪 Access to Maven, a family planning tool, with $15k lifetime reimbursement for egg freezing, fertility treatments, adoption, and more.
• 🎉 In-person and virtual events to connect with your fellow Chimers—think cooking classes, guided meditations, music festivals, mixology classes, paint nights, etc., and delicious snack boxes, too!
• 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals.

Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: benefits@chime.com.

To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice.

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs

Founded in 2018, Gozem is today a technological group of more than 400 people, agile and ambitious, which offers via its mobile application a very wide range of services including transport, delivery, financing, mobile money and many others, to African users. Present in Benin, Togo, Gabon and Cameroon, our group’s ambition is to become “Africa’s Super App” by establishing itself throughout French speaking Africa. Our solution is 100% focused on the African market, serving drivers, customers, traders and soon, SMEs in our areas of activity.

We are a multinational group, with a strong presence in several cities and pride ourselves on helping to improve the lives of local communities through the digitalisation of the market and the introduction of technology-based efficiencies.

Are you looking to grow in a challenging and friendly environment? Do you want to evolve and progress in dynamic and disruptive digital contexts?

Join us in building a new African digital ecosystem that improves the quality of life. Together, let’s make Africa smile!

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

What is a Senior Data Scientist at Gozem?

At Gozem, our Senior Data Scientist is a strategic role at the intersection of data science, applied machine learning, and fintech innovation. In the Gozem Money business, you will design and implement advanced models to analyze transactional and behavioral data, predict outcomes, detect risks, and unlock new growth opportunities.

This role goes beyond model-building: you will take ownership of the end-to-end data science workflow, including fetching and cleaning data from diverse sources, building scalable models, and deploying them in production. You will collaborate closely with business leaders, engineers, and product managers to translate complex datasets into actionable insights that shape financial inclusion in Sub-Saharan Africa.

As a senior member of the data team, you will also mentor junior team members, contribute to our data culture, and play a key role in ensuring insights quality, governance, and reliability across our pipelines.

Your tasks:

• Build and deploy advanced statistical, machine learning, and AI models for use cases such as fraud detection, credit scoring, customer segmentation, churn prediction, and personalization.
• Design and implement analytics pipelines: clean, structure, and consume raw data from our data lakehouse, and other sources.
• Lead data-driven decision-making: collect, transform, analyze, and communicate insights that directly inform product, risk, and growth strategies.
• Manage and deliver data science projects from conception to production, ensuring alignment with business objectives.
• Collaborate with cross-functional teams (Product, Engineering, Operations, Finance) to translate business problems into data solutions.
• Monitor and optimize the performance of models and pipelines, ensuring the related solutions remain reliable, fair, and scalable.
• Mentor junior data scientists and analysts, providing guidance on best practices and methodologies.
• Stay up-to-date with the latest advances in AI/ML, MLOps, and fintech analytics, and help integrate them into Gozem’s stack.

You are the right person for this job if you …

• Have strong expertise in machine learning, statistical analysis, and predictive modeling, and know how to bring models from prototype to production.
• Have hands-on experience with transactional data, financial services data, or digital payments.
• Are comfortable with basic analytics engineering tasks: writing efficient SQL queries, cleaning large messy datasets, and automating data flows.
• Have experience working with metadata standards, insights quality frameworks, and governance practices.
• Are able to communicate complex technical concepts clearly to non-technical stakeholders and influence decision-making.
• Can balance innovation with pragmatism, delivering models and insights that drive measurable business impact.
• Thrive in a fast-paced environment, taking ownership of challenges and moving projects forward.

You have

• Education: Bachelor’s/Master’s degree in Computer Science, Statistics, Applied Mathematics, Data Science, or a related field.
• Experience: 5+ years of experience in data science, preferably in fintech, banking, payments, or digital platforms.
• Core skills: Mastery of SQL, Python, and ML frameworks (scikit-learn, TensorFlow, PyTorch).
• Analytics engineering basics: Experience with ETL & automation tools (Airflow, Dataform, or equivalent), and handling large-scale structured/unstructured datasets.
• Visualization: Proficiency in Looker Studio, Metabase, or other BI tools.
• Nice-to-have skills: Knowledge of R, BigQuery, GCP, or MLOps frameworks (MLflow, Kubeflow, etc.).
• Tools to master: Asana, Jira, Google Suite.
• Languages: French and/or English (bilingual proficiency is a strong plus).
• Location: Hybrid.

What we like most

• Self-motivated, autonomous, and proactive in identifying opportunities to create value with data.
• A natural mentor who enjoys helping others grow.
• Detail-oriented, structured, and able to manage time efficiently in a fast-paced, multi-market environment.
• Excited about the challenge of using data to transform financial services in Africa.

Working conditions & benefits

We offer our employees a fair, friendly and intercultural working environment, in which we strive to develop the talents of each individual. To achieve this, we offer:

🏢 Open-space offices and teleworking time possible (to be arranged with your manager)

💶 A gross monthly remuneration defined according to our internal salary grid as well as the relevance of your past experiences for the position.

🌿 An option to buy shares in Gozem

🎁 An annual bonus allowing you to receive between 0 and 4.5 months of additional salary the following year

🚗 Benefits on our Super App for your travel and deliveries

🌐 A health and IT insurance package

And above all, the opportunity to join a young, dynamic team that has a real social impact in French-speaking Africa!

Interview process

• An initial introductory meeting with the recruitment manager (15 minutes)
• A written interview questionnaire
• A business case to be completed
• A presentation of your business case with the head of the Data team (future n+1) and a time to discuss your professional experience followed by a referral request (you give us 4 professional contacts to whom we send a questionnaire)
• One final validation interview with one of our co-founders

Fondée en 2018, Gozem est aujourd’hui un groupe technologique de plus de 400 personnes, agile et ambitieux, qui offre via son application mobile un très large panel de services incluant transport, livraison, financement, mobile money et bien d’autres aux utilisateurs Africains. Présent au Bénin, Togo, Gabon et Cameroun, notre groupe a pour ambition de devenir “Africa’s Super App” en s’implantant dans toute l’Afrique francophone.Notre solution 100% axée sur le marché Africain, dessert aussi bien les conducteurs, que les clients, les commerçants et d’ici peu, les PME dans nos zones d’activité.

Nous sommes un groupe multinational, avec une très forte présence dans plusieurs villes et fiers de contribuer à l’amélioration de vie des communautés locales grâce à la digitalisation du marché et l’introduction de gains d’efficacité basés sur la technologie.

Vous aspirez à vous épanouir dans un environnement stimulant et convivial ? Vous avez envie d’évoluer et de progresser dans des contextes digitaux, dynamiques et disruptifs ?

Rejoignez-nous dans la construction d’un nouvel écosystème digital Africain qui améliore la qualité de vie. Ensemble, faisons sourire l’Afrique !

Website: http://www.gozem.co

Google Play Store: https://play.google.com/store/apps/details?id=com.gozem

Apple App Store: https://apps.apple.com/us/app/gozem/id1441247963

Glassdoor: https://www.glassdoor.fr/Avis/Gozem-Avis-E4564661.htm

Qu’est-ce qu’un Senior Data Scientist chez Gozem ?

Notre Senior Data Scientist sera chargé de concevoir et de mettre en œuvre des modèles capables d’analyser de grands ensembles de données pour résoudre différents problèmes et prédire les résultats futurs. Il travaille en étroite collaboration avec les gestionnaires d’entreprise pour comprendre leurs défis et leurs objectifs, traduisant des données complexes en insights exploitables. Ce rôle implique non seulement des compétences techniques en programmation et en analyse de données, mais aussi la capacité de communiquer efficacement les résultats et de mentoriser les membres juniors de l’équipe. Ils jouent un rôle crucial dans le processus de prise de décision basé sur les données au sein d’une organisation. Vous travaillerez en étroite collaboration avec notre responsable des données et toute notre équipe de données. Vous surveillerez également les plans de performance et de contrôle qualité pour identifier les améliorations.

Vos responsabilités:

• Développer et mettre en œuvre des modèles statistiques avancés et d’apprentissage automatique pour résoudre des problèmes complexes
• Diriger le processus de prise de décision basé sur les données, de la collecte et de l’analyse des données à la mise en œuvre et au suivi des solutions
• Gérer les projets de science des données, en veillant à ce qu’ils répondent aux exigences commerciales et soient livrés dans les délais
• Mentorat des data scientists/analysts juniors, en leur fournissant guidance et soutien dans leur développement professionnel
• Collaborer avec des équipes interfonctionnelles pour comprendre les défis et objectifs commerciaux, traduisant des données complexes en insights exploitables
• Rester à l’affût des tendances et des avancées de l’industrie en matière de science des données et d’apprentissage automatique, en améliorant continuellement nos méthodologies et technologies

Vous êtes la bonne personne pour ce poste si vous avez …

• avez un œil très attentif aux détails, une expérience avérée en apprentissage automatique, en analyse statistique et en technologies de big data, ainsi qu’une compréhension approfondie des principaux outils de science des données
• avez une expérience et une méthodologie démontrées dans la gestion de défis complexes de données
• êtes capable de diriger des projets de données de la conception au déploiement.
• avez une très bonne compréhension de l’adressage et de l’optimisation des normes de métadonnées
• êtes capable de travailler avec les parties prenantes pour évaluer les risques potentiels
• êtes capable de traduire les exigences commerciales en termes non techniques, simples
• êtes capable de développer des algorithmes d’apprentissage automatique (y compris des modèles de segmentation et prédictifs) qui mèneront à des solutions de science des données impactantes

Vous avez

• Niveau d’éducation : Licence en informatique/mathématiques/statistiques ou toute certification pertinente liée aux données
• Minimum 5 ans d’expérience professionnelle en tant que Data Scientist
• Motivé(e) par soi-même, apprenant(e) indépendant(e) et aimant partager ses connaissances avec les membres de l’équipe
• Compétences obligatoires : Maîtrise de SQL / Python / Looker
• Compétences que nous recherchons en plus : connaissance de tout langage de programmation ® ou d’autres outils de données (Airflow, etc.)
• Compétences en communication écrite et verbale de haut niveau.
• Outils à maîtriser : Asana, G-Suite
• Langues : Français et/ou Anglais
• Lieu : sur site

Ce que nous aimons le plus : Être motivé par soi-même, être un(e) apprenant(e) indépendant(e) et apprécier partager ses connaissances avec les membres de l’équipe, être orienté(e) vers les détails et être un(e) gestionnaire du temps efficace dans un environnement de travail dynamique et rapide.

Conditions de travail et avantages

Nous offrons à nos employés un environnement de travail juste, convivial et interculturel, dans lequel nous nous efforçons de développer les talents de chaque individu. Pour ce faire, nous offrons :

🏢 Des bureaux en open-space et la possibilité de télétravailler (à organiser avec votre responsable)

💶 Une rémunération mensuelle brute définie selon notre grille salariale interne ainsi que la pertinence de vos expériences passées pour le poste.

🌿 Une option pour acheter des actions chez Gozem

🚗 Des avantages sur notre Super App pour vos déplacements et livraisons

🌐 Un package d’assurance santé et informatique

Et surtout, l’opportunité de rejoindre une équipe jeune et dynamique qui a un réel impact social en Afrique francophone !

Processus d’entretien

• Une première réunion introductive avec le responsable du recrutement (15 minutes)
• Un cas d’entreprise à compléter
• Une présentation de votre cas d’entreprise avec le responsable de l’équipe de données (futur n+1) et un temps pour discuter de votre expérience professionnelle suivi d’une demande de références (vous nous donnez 4 contacts professionnels à qui nous envoyons un questionnaire)
• Un dernier entretien de validation avec l’un de nos cofondateurs