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Uber Senior Scientist - UberEats Personalization ML 
United States, West Virginia 
555022532

06.09.2024

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.