What you will do
- Design and analyze large-scale experiments on grocery users in the Eats app.
- Perform strategic deep dives to uncover opportunities for product and business growth, including funnel optimization, user segmentation, and lifetime value forecasting.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Work closely with ML teams to uncover opportunities to improve ranking and personalization.
- Present findings to senior management to inform business decisions.
Basic Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Minimum 3 years of industry experience as a Data Scientist or equivalent.
- Experience in experimental design and analysis, exploratory data analysis and statistical analysis.
- Experience with dashboard/data visualization toolings.
- Ability to use Python to work efficiently at scale with large data sets.
- Proficiency in SQL.
Preferred Qualifications
- 5+ years of industry experience.
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/R for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
For New York, NY-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.
For San Francisco, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.
For Sunnyvale, CA-based roles: The base salary range for this role is USD$174,000 per year - USD$193,500 per year.