Data Science Manager (Marketing)

About the role

Moniepoint is Africa’s largest all-in-one financial services platform, processing payments, credit, and business banking for over 10 million businesses and individuals. This Data Science Manager role leads the marketing data science function, owning quantitative strategy for customer acquisition, retention, and channel attribution. The role is fully remote and open to candidates in Nigeria and select international locations.

Responsibilities

• Build and lead a high-performing team of data scientists and analysts, including hiring, development, and performance management.
• Champion a culture of rigorous experimentation - design and oversee A/B testing frameworks that inform product and marketing decisions.
• Design, build, and maintain scalable data pipelines on Clickhouse and BigQuery.
• Develop marketing mix models for channel attribution and customer segment analysis.
• Generate actionable insights for marketing, product, risk, and operations functions.
• Collaborate with senior stakeholders to align data collection with business objectives.
• Translate complex analytical findings into clear recommendations for non-technical leadership.

Requirements

• 8+ years of overall experience in data science or analytics.
• 2+ years in a data leadership or management role, with a track record of building teams.
• Expertise in experimentation methodologies and A/B testing frameworks.
• Proficiency creating data pipelines using ETL/ELT tools; experience with Clickhouse and BigQuery preferred.
• Strong coding skills in Python and SQL.
• Experience with advertising platform data (Meta Ads, Google Ads, or similar).
• Excellent analytical, communication, and stakeholder management skills.

Nice to have

• Prior experience in fintech, mobile money, or consumer lending.
• Familiarity with causal inference methods for marketing attribution.
• Experience scaling data teams from scratch in high-growth environments.

How to apply

Apply through the Greenhouse link above. The process includes an application review, a recruiter screen, a hiring manager interview, and a take-home technical case study followed by a final panel interview.