Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of 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:
PhD degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, biostatistics, computer science, mathematics, physics etc).
Experience working on a consumer-facing product.
Experience with effective experimental design, training and in areas such as data analysis, survey design, statistical modeling.
Familiarity with statistical tools/software packages (e.g., Python, SQL etc.).
Ability to apply an appropriate quantitative/statistical model to real-world business problems.
Ability to quickly learn new skills and adapt to a changing environment.