Growth Data Scientist

Summary

Join Moniepoint, Africa's leading financial ecosystem, as a Data Scientist and contribute to our growth by building and owning crucial models. You will focus on areas like channel attribution modeling, mCAC modeling, LTV prediction, and Marketing Mix Modeling. Develop, test, and maintain production marketing attribution models to enhance budgeting and marketing efficiency. Design and interpret experiments to derive actionable conclusions. Collaborate with cross-functional teams across product, engineering, and business. This role requires extensive experience in statistical programming, machine learning, and A/B testing. Moniepoint offers a dynamic work environment, flexible arrangements, continuous learning opportunities, competitive salaries, bonuses, health insurance, and pension plans.

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

Responsibilities

• 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

Benefits

• Flexible work arrangements
• Competitive salary, individual performance bonuses, and firmwide performance bonus
• Company covered health insurance plans
• Pension plans