Data Scientist II

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Data Scientist II

role at

Uber .

About The Role

We're looking for a data scientist to join Uber's

Account Actioning Data Science

team to provide data expertise to ensure that our policies on gaining and maintaining access to the Uber platform are transparent and fair. This will be a highly cross‑functional role that will work closely with operations, engineering, product management, and partner data teams. You will build out and own operations metrics, provide key insights, conduct deep dive analysis to understand new opportunities and present findings, and work with partners on coming up with new policy and product solutions while measuring impact. You will play an influential role in helping drive critical product and policy decisions.

What You Will Do

Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.

Define how our teams measure success, by developing Key Performance Indicators and other user / business metrics, in close partnership with Product and other subject areas such as engineering, operations and marketing.

Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.

Develop data‑driven business insights and work with cross‑functional partners to identify opportunities and recommend prioritization of product, growth, and optimization initiatives.

Basic Qualifications

3+ years proven experience in product analytics or ontological data modeling.

M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.

Advanced SQL and Python expertise.

Basic understanding of experimental design (such as A / B experiments) and statistical methods.

Ability and experience in extracting insights from data, and summarizing learnings / takeaways.

Experience with Excel and some dashboarding / data visualization (i.e. Tableau, Mixpanel, Looker, or similar).

Excellent judgment, critical‑thinking, and decision‑making skills.

Preferred Qualifications

Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.

4+ years industry experience in consumer‑facing product analytics.

Strong storytelling : distill interesting and hard‑to‑find insights into a compelling, concise data story.

Ability to communicate effectively and manage relationships with partners coming from both technical and non‑technical backgrounds.

Ability to solve complex business problems that cross multiple product / project areas and teams.

Balance attention to detail with swift execution.

Benefits

For all US locations, you will be eligible to participate in Uber's bonus program, may be offered an equity award, and will have access to comprehensive benefits. For more details, see Uber's benefits page.

Base Salary

— $140,000–$156,000 per year for all US locations.

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