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Uber Senior Scientist Grocery & Retail 
United States, West Virginia 
169430169

24.06.2024

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.