Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field or equivalent practical experience.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
4 years of industry experience, developing large-scale Machine Learning models for real-world problems and deploying them for real-time applications.
Experience with end-to-end project ownership, ranging through all stages such as problem characterization through empirical data analysis, solution conceptualization, implementation of offline modeling and online serving modules, A-B experimentation for impact measurement, and launch steering.