Uber Senior Scientist - UberEats Personalization ML 

United States, West Virginia 

555022532

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.