Machine Learning Engineer
Moniepoint Inc. (Formerly TeamApt Inc.)
full-time
Posted on:
Location Type: Remote
Location: Nigeria
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About the role
- 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.
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.
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data sciencemachine learningstatistical techniquespredictive modelsprescriptive modelsSQLexperimental designhypothesis testingdata visualizationanalytical skills
Soft Skills
collaborationcommunicationproblem-solvinginfluencing decisionsdata fluencyactionable insightscross-functional teamworkadaptabilitycritical thinkingleadership
Certifications
BScMScPhD