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 experience working with analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Experience with statistical data analysis and experimental design.
Experience with regression analysis for prediction and forecasting.
Preferred qualifications:
PhD in a quantitative discipline (e.g., Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, or Engineering).
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, with strong data intuition and business acumen.
Experience with statistical software (e.g., Python, R) and database languages (e.g. SQL).
Excellent scientific writing, communication, and presentation skills.