What you will do
- Work closely with ML teams to design algorithms and uncover opportunities to improve ranking and personalization.
- Design and analyze large-scale experiments on grocery users in the Eats app to discover insights that improve our discovery platforms.
- Collaborate with Product, Engineering, Design, and other cross-functional partners to understand user behaviors to inform future product strategies.
- Present findings to senior management to inform business decisions.
Basic Qualifications
- 5+ years of industry experience working in personalization or search
- Experience in algorithm prototyping and development.
- Experience working with funnel optimization, user segmentation, cohort analysis, and lifetime value forecasting.
- Ability to use Python/PySpark for exploratory data analysis and modeling.
- Strong communication skills across technical, non-technical, and executive audiences.
Preferred Qualifications
- Ph.D., M.S., or Bachelors degree in Statistics, Economics, Operations Research, or other quantitative fields.
- Experience in a technical leadership role.
- Experience in modern deep learning architectures and probabilistic models.
- Experience in modern generative AI, such as transformer architectures, diffusion models and prompting.
- Experience guiding and mentoring other Scientists.
- Excellent 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.