- An advanced degree in Statistics, Applied Mathematics, Physics, Engineering, Computer Science, Economics, or a related quantitative field.
- 5+ years of industry experience in Data Science or a related quantitative discipline, preferably in consumer-facing products or consumer applications.
- Strong analytical and technical skills, including experience working with large-scale datasets and proficiency in SQL and Python/R.
- Deep expertise in statistical analysis, causal inference, experimentation, and measurement methodologies, with a track record of applying these techniques to influence product strategy and business outcomes.
- Demonstrated ability to independently drive ambiguous, high-impact problem spaces, applying first-principles thinking to develop novel frameworks and solutions.
- Experience partnering cross-functionally with Product, Engineering, Design, and leadership teams to shape strategy, prioritize investments, and drive organizational alignment.
- Exceptional communication and storytelling skills, with the ability to distill complex, high-dimensional problems into clear, actionable insights for both technical and executive audiences.