Senior Data Scientist (Remote) at Moniepoint Incorporated

Job Description

Senior Data Scientist role at Moniepoint Incorporated, focused on driving data-driven decision-making across product, engineering, and business teams. The role involves leading high-impact analytics projects, building predictive models, and translating complex datasets into actionable insights that support growth, innovation, and user experience improvements.

Key Responsibilities

• Lead high-impact data science projects from problem definition to deployment, supporting product innovation and business strategy.
• Analyze large, complex datasets to identify trends, opportunities, and actionable insights that inform key decisions.
• Develop and deploy predictive and prescriptive models using machine learning and statistical techniques.
• Design and execute A/B tests and causal inference studies to support experimentation and learning.
• Collaborate with product managers, engineers, and business stakeholders to translate business needs into data solutions.
• Build dashboards, tools, and analytics frameworks to enable self-service reporting and scalable impact across teams.

Requirements

• BSc, MSc, or PhD in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 5 years experience in a Data Scientist role, preferably within fast-paced or high-growth environments.
• Strong proficiency in SQL and experience with large-scale data systems such as Redshift, BigQuery, or Snowflake.
• Advanced analytical and statistical skills with fluency in Python or R.
• Hands-on experience with machine learning libraries such as scikit-learn or XGBoost, and data visualization tools such as Tableau, Looker, or Plotly.
• Solid understanding of experimental design, hypothesis testing, and causal inference.
• Ability to translate complex data problems into clear, actionable business insights.

Added Advantage

• Experience with deep learning, natural language processing, or time-series forecasting.
• Knowledge of data pipeline and workflow tools such as Airflow or dbt.
• Familiarity with business domains such as fintech, e-commerce, or healthcare.

Benefits

• Competitive salary package with pension, health insurance, annual bonus, and additional benefits.
• Opportunity to drive measurable impact through data in a high-growth environment.
• Access to rich datasets and a modern analytics stack.
• Collaborative work culture with room for learning, experimentation, and professional growth.

Hiring Process

• Preliminary phone call with a recruiter.
• Coding exercise on HackerRank covering data science theory and Python fundamentals.
• Take-home assignment.
• Technical interview with an engineering lead to review the assignment.
• Behavioural and technical interview with a member of the executive team.