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Manager, Science; Investments

Job in Seattle, King County, Washington, 98127, USA
Listing for: Uber
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 212000 - 235500 USD Yearly USD 212000.00 235500.00 YEAR
Job Description & How to Apply Below
Position: Manager, Science (Investments)

Manager, Science (Investments)

Lead a high‑performing team of scientists working to optimize Uber's Mobility business. This role will focus on applied and data science to intelligently optimize pricing and incentives allocations globally to meet near‑term business goals while simultaneously optimizing for long‑term enterprise value.

Responsibilities
  • Guide a team of applied and data scientists working on challenging problems at the interface of statistics, economics, optimization, and machine learning.
  • Collaborate closely with cross‑functional partners in engineering, product, and operations roles.
  • Serve as a role model and leader for a broader Science organization spanning multiple subteams.
Basic Qualifications
  • Experience leading high‑performing scientists, economists, and applied researchers in an industrial marketplace setting.
  • Solid understanding of experimentation and causal inference applied at scale.
  • Familiarity with machine learning algorithms, optimization, and simulation strategies.
  • Ability to work effectively with a broad range of stakeholders.
Preferred Qualifications
  • PhD in Statistics, Economics, Operations Research or a similar field.
  • 3+ years of data‑science management experience with at least 5 direct reports.
  • Record of significant technical contributions in a large‑scale marketplace setting.
Compensation & Benefits

For US locations, the base salary range is USD $212,000

USD $235,500 per year. You will be eligible to participate in Uber's bonus program, may be offered an equity award and other types of compensation, and you will have access to various benefits. More details can be found at

Job Details
  • Seniority Level: Mid‑Senior level
  • Employment Type:

    Full‑time
  • Job Function:
    Finance and Sales
  • Industry: Internet Marketplace Platforms

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