Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field, or equivalent practical experience.
8 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases, or statistical analysis, or 6 years of experience with a PhD degree.
Experience designing A/B tests, analyzing experimental results to validate assumptions, measuring product efficacy, and informing product decisions.
Experience working with consumer-facing technical products.
Preferred qualifications:
10 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 8 years of experience with a PhD degree.