Salary
💰 $207,485 - $275,000 per year
About the role
- Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
- Act as a leader to establish standards for measurement for new product and feature launches
- Provide technical mentorship for other members of the data science organization
- Act as a thought partner for senior leadership to help guide our product development process
Requirements
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
- Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
- Deep theoretical and applied expertise in a wide range of quasi-experimental methods
- A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders.
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.