Senior Scientist, Tech - Science

Uber

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Quick summary

Work type
On-site
Location
New York, NYSan Francisco, CA
Posted
4 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $194k
$133k most similar roles pay here $248k

This listing doesn't post a salary. Most similar roles pay $150,600–$236,475.

Based on 240 similar postings.

Employer

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 27 open roles on FindRole.

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At a glance

TL;DR · Senior Scientist, Tech - Science

As a Sr Scientist, Tech - Science on the Earner Program Logistics team, you will serve as a technical multiplier solving high-stakes optimization and marketplace problems at the intersection of digital algorithms and physical-world delivery. You will translate unstructured problems into rigorous experiments and productionized solutions while driving the end-to-end product development lifecycle from a science and data perspective. Your core responsibilities include setting experimentation standards, influencing executive roadmaps with technical findings, and managing the technical trajectory of critical products to ensure they are modular and observable. To succeed, you must utilize Causal Inference and Optimization techniques while working with large-scale datasets using Spark, Hive, or HDFS. You will leverage programming languages such as Python, R, Java, Ruby, Scala/Spark, or Perl to build a balanced, resilient, and efficient marketplace for eaters, merchants, and couriers.

What does a Scientist earn?

Median $140950 from 34 postings across 9 companies.

See salary data

What you'll do

  • Translate unstructured business problems into rigorous experiments and productionized solutions for the Uber Eats marketplace.
  • Solve complex logistics challenges using Causal Inference and Optimization techniques.
  • Establish science strategies and experimentation standards across multiple teams to ensure scientific rigor.
  • Identify opportunities to improve model performance, efficiency, and reduction of technical debt.
  • Present complex technical findings and strategic recommendations to influence executive-level roadmaps.
  • Manage the technical trajectory of critical products to ensure solutions are extensible and modular.
  • Develop algorithms that optimize for long-term platform value and incentive compatibility.

What we're looking for

  • Bachelor's degree in Statistics, Machine Learning, Operations Research, Economics, Mathematics, Computer Science, or another quantitative field.
  • Ph.D. degree in a quantitative field such as Machine Learning, Operations Research, or Statistics (preferred).
  • 5+ years of industry experience as an Applied or Data Scientist, or 3+ years with a Ph.D.
  • Proficiency in at least one programming language such as R, Python, Java, Ruby, Scala/Spark, or Perl.
  • Experience designing experiments and interpreting results across various key performance indicators.
  • Ability to work with large-scale datasets using Spark, Hive, or HDFS (preferred).
  • Proven ability to lead high-complexity technical projects and influence the scope of others (preferred).
  • Strong communication skills to influence leadership through storytelling and data-driven insights (preferred).

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