Uber Senior Scientist Grocery & Retail 

United States, West Virginia 

169430169

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.