Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
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 3 years of work experience with a PhD degree.
Preferred qualifications:
8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.
Experience with regression analysis, experiment design, sampling methods, causal inference, time-series analysis, and hierarchical models.
Experience in data analysis to solve business problems in complex, fast-moving, and ambiguous business environments.
Experience with statistical software (e.g., Python, R) and database languages (e.g., SQL).
Excellent scientific writing, communication, and presentation skills.