In partnership with our client, we are seeking a
Data Science Manager (Marketing) who knows how to turn data into decisions and decisions into growth. This is a role for someone who is equally at home building robust data pipelines, leading high-performing teams, and sitting at the table with marketing leaders to shape strategy. You will drive our data initiatives across a high-growth fintech, helping us understand our customers better, spend smarter, and grow faster. If you are passionate about using data to power marketing at scale, we want to meet you.
Who are we looking for
- You are a strategic leader who can define what world-class data science looks like and build the roadmap to get there.
- You are deeply technical, fluent in Python and SQL, and experienced in building and architecting scalable data pipelines using cloud platforms.
- You are an experimentation champion, with strong expertise in A/B testing, multivariate testing, geo-holdouts, and variance reduction techniques.
- You are analytically sharp, able to frame complex problems clearly and communicate findings to a wide range of audiences, from engineers to executives.
- You are a people builder, someone who hires with intention, coaches with care, and makes everyone around you better.
- You are marketing-savvy, comfortable working with advertising data from platforms like Facebook and passionate about solving real marketing challenges with data.
- You are collaborative by nature, someone who builds strong relationships across marketing, product, and engineering to ensure data drives meaningful business outcomes.
Your Responsibilities...
Strategy & Vision
- You will develop and execute a comprehensive data strategy, defining what world-class looks like and building the roadmap to achieve it.
- You will bring data leadership and rigour to our approach to product and marketing development, shaping how the business thinks and acts on data.
Team Leadership
- You will hire, develop, and retain a high-performing team of data scientists and analysts, fostering a culture of excellence and continuous growth.
- You will coach and mentor your team, ensuring every individual is supported, challenged, and set up to do their best work.
Data & Insights
- You will drive the generation of actionable insights across marketing, product, risk, and operations, turning raw data into clear business direction.
- You will build and improve Marketing Mix Models for better channel attribution, calculate true per-channel marketing customer acquisition costs, and identify customer segments by engagement and share of wallet.
- You will oversee the end-to-end design, development, and maintenance of scalable and reliable data pipelines.
- You will lead and champion a culture of rigorous experimentation, including A/B testing and multivariate frameworks, to inform product and business decisions.
Stakeholder Collaboration
- You will partner closely with marketing, product, and engineering managers to ensure the right data is being collected for meaningful business insights.
- You will structure and lead complex, cross-functional projects, bringing clarity and momentum from problem definition through to delivery.
What Success Looks Like...
- A high-performing data science team is in place, with clear growth paths and a strong culture of experimentation and continuous improvement.
- Marketing Mix Models and channel attribution frameworks are live, giving the business accurate visibility into per-channel marketing, customer acquisition costs and campaign performance.
- Data pipelines are reliable, scalable, and well-maintained, supporting fast and confident decision-making across the business.
- Experimentation is embedded into how the marketing and product teams operate, with a regular cadence of tests driving measurable improvements in customer acquisition and retention.
- Customer segmentation and share of wallet models are actively informing marketing strategy and resource allocation.
To be considered for this role you should have...
- 8+ years of overall experience in data science or related fields, with at least 4 years in a data leadership or management role.
- Proven expertise in experimentation methodologies including A/B testing, multivariate testing, geo-holdouts, and variance reduction techniques.
- Hands-on experience designing and building data pipelines, including ETL and ELT processes, using cloud platforms such as Clickhouse and BigQuery.
- Strong proficiency in Python and SQL, with the ability to guide others on choosing the right tools for the right problems.
- Experience working with marketing data and advertising platforms such as Facebook.
- Strong analytical, problem-solving, and communication skills, with the ability to relay complex findings to diverse audiences.
- A genuine passion for coaching, team building, and creating a high-performance data culture.
Challenges you may face in this role...
- Building and scaling a data science function in a fast-moving environment where business priorities can shift quickly.
- Translating complex data models and insights into clear, actionable narratives for non-technical marketing and business stakeholders.
- Designing attribution and measurement frameworks that are both technically rigorous and practically useful in a multi-channel marketing environment.
- Balancing hands-on technical work with the demands of leading and growing a team.
- Operating across a large, distributed organisation and aligning multiple stakeholders around a shared data strategy.
The Goodies...
- Competitive salary with individual performance bonuses and a firmwide performance bonus.
- Company-covered health insurance and pension plans.
- Flexible work arrangements with a fully remote setup.
- Continuous learning and career growth opportunities in one of Africa's highest-volume fintech environments.
- A dynamic, diverse, and collaborative team where every voice is recognised and valued.
- The opportunity to work on products that materially impact tens of millions of users across high-growth markets.
