Moniepoint - Machine Learning Engineer

• 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. • 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. • What we can offer you • Culture - We put our people first and prioritize the well-being of every team member. We have built a company where all opinions carry weight and where all voices are heard. We value and respect each other and always look out for one another. Above all, we are human. • Learning - We have a learning and development-focused environment with an emphasis on knowledge sharing, training, and regular internal technical talks. • Compensation - You’ll receive an attractive salary, pension, health insurance, annual bonus, plus other benefits. • The opportunity to drive impact through data in a high-growth environment. • A collaborative culture with room to grow and experiment. • Access to rich data and a modern analytics stack. • What to expect in the hiring process • A preliminary phone call with the recruiter • A coding exercise on HackerRank – covering core data science theory (math, statistics, linear algebra) and Python fundamentals (data structures & algorithms). • A take-home assignment • A technical interview with a Lead in our Engineering Team to review your take-home assignment in depth • A behavioural and technical interview with a member of our Executive team