Senior Scientist, Marketplace

Uber

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Posted
9 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $204k
$152k most similar roles pay here $256k

This listing doesn't post a salary. Most similar roles pay $162,000–$245,900.

Based on 240 similar postings.

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About Uber

Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.

Uber currently has 45 open roles on FindRole.

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At a glance

TL;DR · Senior Scientist, Marketplace

As a Senior Scientist - Marketplace (Multiple Teams), you will join the science team to drive end-to-end product development through data, analytics, modeling, and experimentation. You will tackle ambiguous business problems by prototyping machine learning, optimization, causal inference, and marketplace dynamics models. Your daily responsibilities include developing statistical and econometric methodologies, designing experiments, creating diagnostic tools, and providing actionable insights for growth and pricing initiatives. The role focuses on the core logic of delivery products, including dispatching and pricing for food and grocery services, as well as membership programs. To succeed, you must be proficient in SQL and at least one programming language such as Python, R, Java, Ruby, Scala, or Go to process large datasets and prototype algorithms. You will collaborate with cross-functional partners to define success metrics and improve results across the marketplace.

What you'll do

  • Solve ambiguous business problems using machine learning, optimization, and causal inference models.
  • Develop and implement statistical and econometric methodologies to improve results validity and power.
  • Produce data-driven insights to identify opportunities and recommend product prioritization for cross-functional partners.
  • Design and analyze experiments to provide actionable recommendations based on key performance indicators.
  • Create logging systems, metrics, data visualizations, and diagnostic tools to guide product development.
  • Define success metrics in partnership with cross-functional teams to measure growth and optimization.
  • Manage the end-to-end product development cycle from a data and science perspective.

What we're looking for

  • Bachelor's, Master's, or Ph.D. in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.
  • 4+ years of industry experience as an Applied or Data Scientist (or 2+ years with a Ph.D.).
  • Proficiency in at least one programming language such as Python, R, Java, Ruby, Scala, or Perl.
  • Ability to use Python or similar technologies to work with large datasets and prototype algorithms and models.
  • Proficiency in SQL and coding for statistical analysis and algorithm prototyping in Python or R.
  • Experience designing experiments and interpreting results to draw actionable conclusions across key performance indicators.
  • Ph.D. in Economics, Statistics, Machine Learning, or Operations Research (preferred).
  • Bachelor's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields.

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