Master's degree in Statistics, Economics, Engineering, Mathematics, a related quantitative field, or equivalent practical experience.
7 years of experience with statistical data analysis, modeling, experimentation, causal inference, data mining, querying, and managing analytical projects with programming in SQL, Python, or R.
7 years of experience developing and managing metrics or evaluating programs/products.
5 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
Experience managing a team of Data Scientists.
Experience working with large and multiple datasets/data warehouses, and ability to pull from such data sets using relevant tools and coding.
Strong business acumen and experience with utilizing unstructured data to answer open-ended business questions.
Ability to start and direct work in an unstructured environment and comfortable dealing with ambiguity.
Expertise in experimental design (e.g., A/B, multivariate, Bayesian methods) and incrementality analysis.