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Data Scientist, Marketing and Growth Expert
hace 2 meses
Moniepoint Inc is a leading digital financial services platform for businesses in emerging markets. Our technology has powered over a million businesses, offering all the payment, banking, credit, and business management tools they need to succeed.
We are looking for a talented and passionate Data Scientist to join our 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, including our attribution and marketing mix models.
Key Responsibilities- Develop, test, and productionize attribution and predictive algorithms using state-of-the-art machine learning algorithms and optimization models.
- Contribute to one or more of the following areas: attribution modeling, CAC/mCAC modeling, LTV prediction, marketing mix modeling, and multichannel attribution and testing.
- 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.
- Develop, test, and own our production marketing attribution models for better budgeting and increased marketing efficiency.
- 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 optimization.
- Extensive experience 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.
- 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.
