Machine Learning Data Scientists

Uber

San Francisco, California, United States
Base: usd$174,000 - usd$193,500 py; bonus/equity: ...
On-site
5+ years industry experience in personalization or search
Algorithm prototyping and development skills
Funnel optimization and cohort analysis expertise
The team builds systems that deeply understand products, users, and merchants to optimize the marketplace for all parties

Job Summary

  • The team builds systems that deeply understand products, users, and merchants to optimize the marketplace for all parties.
  • You will work closely with ML teams to design algorithms that improve ranking and personalization across thousands of storefronts.
  • Candidates must present findings to senior management to inform business decisions regarding the $7 billion annual run rate grocery platform.

Matching Summary

The team builds systems that deeply understand products, users, and merchants to optimize the marketplace for all parties.

Salary

Base: USD$174,000 - USD$193,500 per year; Bonus/Equity: Eligible for Uber bonus program and equity award; Benefits: Various benefits available

Skills & Requirements

Must-have

  • 5+ years industry experience in personalization or search
  • Algorithm prototyping and development skills
  • Funnel optimization and cohort analysis expertise
  • Python and PySpark for data modeling
  • Strong communication with executive audiences

Nice-to-have

  • Experience in technical leadership roles
  • Knowledge of modern deep learning architectures
  • Familiarity with generative AI and transformers
  • Mentoring and guiding other scientists
  • Probabilistic models experience

Key Requirements

  • 5+ years of industry experience
  • Ph.D., M.S., or Bachelor's degree in quantitative fields
  • Experience in algorithm prototyping
  • Proficiency in Python/PySpark

Work Rights

Not specified

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