Data Science Manager (Marketing) at Moniepoint Incorporated - Remote

Moniepoint Incorporated is a global business payments and banking platform and recently became QED Investors’ first investment in Africa. We are the partner of choice for over 600,000 businesses of all sizes, powering the dreams of SMBs and providing them with equal access to the tools they need to grow and scale.

We are recruiting to fill the position below:

Job Title: Data Science Manager (Marketing)

Location: Remote

About the role

• We’re looking for a strategic and hands-on Data Science Manager (Marketing) to lead our data initiatives in a high-growth environment.
• This role is pivotal in driving our data strategy, fostering a data-driven culture, and ensuring the robust infrastructure and insights necessary for our continued success as a leading African fintech. 
• You’ll collaborate with our amazing Marketing team and lead a dedicated data team to help execute our marketing strategy.
• You’ll be responsible for building and improving our current capabilities while shaping the future roadmap.
• We’re looking for a hands-on and data-driven strategic leader who can bring fresh thinking and inspire both the team and our customers.

Your day-to-day
Strategic Leadership: 

• Be a key leader in building a discipline of exceptional data scientists and analysts.
• Develop and execute a comprehensive data strategy - design what world class looks like

Team Building & Management: 

• Hire, develop, and retain a high performing team of data professionals

Experimentation: 

• Champion and drive a culture of rigorous experimentation, including A/B testing, to inform product development and business decisions.

Data Pipeline Ownership: 

• Oversee the end-to-end ownership, design, development, and maintenance of scalable and reliable data pipelines.

Data Insights & Analytics - including model development and productionisation: 

• Drive the generation of actionable insights from data to support various business functions, including product, marketing, risk, and operations.
• How can we build Marketing Mix Models for better channel attribution modeling?
• What is our actual channel per channel mCAC?
• Which customer segments are more/less engaged?
• What are our customers’ share of wallet - how can we use this?

Stakeholder Collaboration: 

• Liaise with marketing, product, and engineering managers to ensure we collect the right data for meaningful business insights.
• Bring data leadership and rigour to our approach to product development. Build a strategic understanding of the business and structure complex projects to bring them to life.

We would love to hear from you if

• What we’re doing here at Moniepoint excites you!
• You have proven experience (typically 8+ years overall and +2 years in management / in data leadership roles), with a strong focus on strategy, execution, and team management.
• You love coaching and make everyone better around you.
• You’ve expertise in experimentation methodologies and A/B testing frameworks (multivariate, geo-holdouts, etc, variance reduction techniques)
• You can create data pipelines (including designing/architecting them - ETL/ELT) - especially using cloud platforms (we use Clickhouse and Bigquery here)
• You’re confident with data Science tools languages (Python and SQL). You know when to pick the right tool, and can help others do the same
• Strong analytical, problem-solving, and communication skills - you can describe the problem, solve it, and relay it back to a wide array of audiences
• You love working in marketing and using advertising data from platforms such as Facebook.

What Moniepoint Can Offer You 

• The opportunity to drive financial inclusion and shape the future of the African financial ecosystem 
• The chance to work on innovative and impactful projects
• A dynamic, diverse, and collaborative environment where every team member’s voice is recognized and valued 
• Flexible work arrangements
• Continuous learning and career growth opportunities
• Competitive salary, individual performance bonuses, and firmwide performance bonus 
• Company covered health insurance plans
• Pension plans .

Application Closing Date
Not Specified.

Method of Application
Interested and qualified candidates should:
Click here to apply online

What to expect in the hiring process

• A preliminary phone call with one of our recruiters
• An intro call with the Director of Data Science 
• Take-home task (hands on coding / marketing modelling case study)
• A business case study with our Head of Marketing Strategy & Data
• A live technical coding interview with our Director, Data Science
• A 60 min culture fit interview with our Director, Data Science.