Bachelor's degree in Statistics, Computer Science, Engineering, Mathematics, Economics, Physics, or equivalent practical experience.
10 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.
5 years of experience developing and managing metrics or evaluating programs/products.
3 years of experience as a people manager within a technical leadership role.
Preferred qualifications:
Experience solving unstructured business problems with data science, translating results into business recommendations, and measuring the success of those initiatives.
Experience working with Engineers, Product Managers, and UX teams around providing product-centric insights.
Experience developing new models, methods, analysis techniques, and model evaluation.
Excellent communication and presentation skills, with the ability to deliver findings of analysis.