Job title : Senior Data Scientist
Job Location : Nigeria
Deadline : January 02, 2026
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What You'll Do
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.To succeed in this role, you should have
5+ years of experience as a Data Scientist, ideally in fast-paced or high-growth environmentsProficiency 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.Experience With The Following Would Be a Plus
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.