Growth Data Scientist

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July 15

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Moniepoint Inc. (Formerly TeamApt Inc.)

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Fintech • Banking • Payments

Moniepoint Inc. is Africa's all-in-one financial ecosystem that provides seamless solutions in payments, banking, credit, and business management for over 10 million businesses and individuals. Operating as Nigeria's largest merchant acquirer, Moniepoint powers the majority of Point of Sale (POS) transactions in the country. The company processes $17 billion monthly while ensuring profitable operations. With operations starting in 2019, Moniepoint continues to support businesses through its comprehensive financial services platform, making significant strides in financial inclusion across emerging markets.

1001 - 5000 employees

💳 Fintech

🏦 Banking

📋 Description

•Moniepoint is Africa's all-in-one financial ecosystem, empowering businesses and their customers with seamless payment, banking, credit, and management tools. •We are looking for talented and passionate Data Scientist to join the Growth team. Data science and optimization are key drivers for Moniepoint’s business growth and the Data Scientist joining will have the opportunity to build and own the most important models starting from our attribution and Marketing Mix Models •Contribute the following areas: channel attribution modeling, mCAC per channel modeling, LTV prediction, Marketing Mix Modeling and multichannel attribution and testing •Develop, test and own our production marketing attribution models for better budgeting and increased marketing efficiency •Develop, test and productionize attribution and predictive algorithms by using state of the art machine learning algorithms and optimisation models •Design experiments and interpret the results to draw detailed and actionable conclusions •Work in cross-functional teams across disciplines such as product, engineering and business.

🎯 Requirements

•+5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role in top companies. FMCG or Fintech preferred. •Holds at least an MSc, and preferably a PhD in a scientific discipline such as Physics, Statistics, Engineering, Computer Science or Mathematics •Deep theoretical and applied knowledge in the following areas: statistical inference, bayesian statistics, causal inference, time series analysis and mathematical optimisation. •Extensive experience at least in Multichannel Attribution Modeling and Marketing Mix Modeling •Extensive experience in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, XGBoost, Jupyter/iPython notebooks and well-known modeling packages such as PyMC3 •Extensive experience with the end-to-end predictive/prescriptive model development cycle, from problem definition to productionalization and maintenance. This includes excellent data modeling and SQL skills, and familiarity with Cloud infrastructure. •Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc.) •Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights •Excellent spoken and written English

🏖️ Benefits

•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