Moniepoint - Data Science Manager (Credit)

• 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