Data Scientist

Wave Mobile Money

. Work on projects including credit scoring models, fraud detection, field visit schedule optimization, and A/B tests for targeted user promotions .

Posted 10/13/2026full-timeRemote • United States, United Kingdom, Spain, Kenya, Ghana, Senegal, Ivory Coast, Burkina FasoMid-LevelSenior💰 $130,600 - $236,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data science and machine learning, with a strong focus on statistical modeling, data visualization, and generating actionable insights for diverse stakeholders. Proficient in Python and SQL, with a proven ability to optimize operations and enhance user outcomes in fast-paced environments.

Highest-signal resume keywords

Data ScienceMachine LearningStatistical ModelingPythonSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningData VisualizationA/B TestingCausal Inference

Soft Skills

Clear CommunicationProblem SolvingAdaptability

Tools & Technologies

Data Visualization Tools

Industry Keywords

Credit Scoring ModelsFraud DetectionUser PromotionsAnalytics ProcessEarly-Stage Product Teams

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Work on projects including credit scoring models, fraud detection, field visit schedule optimization, and A/B tests for targeted user promotions
Partner with product managers and business leaders to understand problems and apply data to improve outcomes
Embed closely with product and operations teams
Generate insights from customer, merchant, and internal data using statistical modelling, data visualization, and machine learning
Design, implement, and analyze optimizations for internal operations, user promotions, and the agent network
Build data-driven heuristics and machine-learning models to improve user and business outcomes
Own the analytics process from project scoping and design through communicating findings to stakeholders

Requirements

What you’ll need

Minimum Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, Engineering, or a related discipline
5+ years of experience in data science, machine learning or technical analytics roles
Deep expertise with Python, SQL, and data visualization tools
Experience in one or more of: machine learning, causal inference, statistical modeling, or A/B testing
Fluency in English
Ability to generate clear, actionable insights for technical and business stakeholders
Ability to work in ambiguous, fast-moving environments and drive progress
Experience working in early-stage product teams or rapidly scaling products
Ability to present findings to technical and non-technical audiences
Candidates must be based in one of the listed talent hub countries or operating markets

Benefits

Comp & perks

Yearly $1,200 stipend to support coworking meetups with teammates
Subsidized health insurance for you and your dependents
Retirement contributions
6 months of fully paid parental leave
Subsidized fertility assistance
Flexible vacation, with most folks taking between 30-40 days per year
$10,000 annual charitable donation matching
Generous equity package