Research and develop advanced analysis, causal inference analysis of impact, creatve new methodologies (e.g., LLM-based method) to identify product opportunities from various data sources, product headroom analysis for key AI features.

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 influence product leadership (i.e., VPs and Directors).

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

8 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or 6 years of work experience with a PhD degree.