Senior Data Scientist

Summary

Join Moniepoint Inc., Africa's leading financial ecosystem, as a Senior Data Scientist. You will lead high-impact data science projects, analyze large datasets to identify trends and opportunities, build predictive models using machine learning, design A/B tests, and collaborate with cross-functional teams. Your work will directly impact business decisions and enhance user experience. This role requires 5+ years of experience in data science, proficiency in SQL and Python/R, and a strong understanding of statistical modeling and experimental design. Moniepoint offers a competitive salary, pension, health insurance, annual bonus, and a collaborative work environment focused on learning and development.

Requirements

• 5+ years of experience as a Data Scientist, ideally in fast-paced or high-growth environments
• Proficiency in SQL and experience working with large-scale data systems (e.g., Redshift, BigQuery, Snowflake)
• Strong analytical and statistical skills; fluency in Python or R
• Experience with machine learning libraries (e.g., scikit-learn, XGBoost) and data visualization tools (e.g., Tableau, Looker, Plotly)
• Solid understanding of experimental design, hypothesis testing, and causal inference
• Ability to distill complex data problems into clear, actionable insights
• BSc/MSc/PhD in a quantitative field such as Statistics, Computer Science, Mathematics, Economics, or similar

Responsibilities

• Lead high-impact projects: Design and deliver end-to-end data science solutions that support product innovation and business strategy
• Uncover insights: Analyze large, complex datasets to identify trends, surface opportunities, and influence key decisions
• Build models: Develop and deploy predictive and prescriptive models using machine learning and statistical techniques
• Enable experimentation: Design A/B tests and causal inference studies to help teams learn quickly and make informed choices
• Collaborate cross-functionally: Work closely with product managers, engineers, and business leaders to understand goals and deliver data-driven solutions
• Promote data fluency: Build dashboards, tools, and frameworks to enable self-service analytics and scale your impact across teams

Preferred Qualifications

• Experience with deep learning, NLP, or time-series forecasting
• Knowledge of tools for building production data pipelines (e.g., Airflow, dbt)
• Familiarity with business domains like fintech, e-commerce, healthcare, etc

Benefits

• Pension
• Health insurance
• Annual bonus