What the Candidate Will Do
- Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
- Build statistical, optimization, and machine learning models for strategic insights as well as in production enhancements to the membership program.
- Design and analyze experiments, present results that provide actionable recommendations.
- Orient our teams around data-driven product development by driving the creation of logging, metrics, data visualization and diagnostic tools, and experimentation paradigms.
- Define how our teams measure success, by developing metrics, in close partnership with cross functional partners.
Basic Qualifications
- MS or BS in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field
- 4+ years of industry experience as an Applied or Data Scientist or equivalent.
- Experience in developing causal inference methodologies and experimental design (e.g., A/B and market-level experiments).
- Proficiency in SQL and programming languages (Python and/or R)
- Strong communication skills across technical and non-technical audiences.
- Experienced business and product sense: ability to shape vague questions into well-defined analyses and success metrics that drive business decisions.
Preferred Qualifications
- Ph.D., M.S. or Bachelor's degree in Statistics, Economics, Mathematics, Computer Science, Machine Learning, Operations Research, or other quantitative fields.
- Experience in building consumer-facing products in a technology company.
- Experience with dashboard/data visualization toolings.
* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .