Research and develop advanced analysis, forecasting, experimentation, ML and optimization methods to identify growth opportunities (e.g., forecasting at scale, user segmentation, user cohort or causal inference modeling, and churn prediction).

Initiate projects inside and across the organization and drive to completion autonomously.

Frame and solve ambiguous business problems and communicate the solutions effectively.

Interact cross-functionally, be a thought partner and influence a wide range of product stakeholders.

Communicate clearly and persuasively and to influence executive product leadership.

Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

5 years of work experience with analysis applications (e.g., extracting insights, performing statistical analysis, or solving business problems), and coding (e.g., Python, R, SQL), or 2 years of experience with a Master's degree.