Data Scientist II

Uber • San Francisco, CA • 10h ago

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.

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.

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.

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.

For New York, NY-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For San Francisco, CA-based roles: The base salary range for this role is USD$140,000 per year - USD$156,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other @types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.

Uber is proud to be an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form- https://docs.google.com/forms/d/e/1FAIpQLSdb_Y9Bv8-lWDMbpidF2GKXsxzNh11wUUVS7fM1znOfEJsVeA/viewform

IT & Engineering

Description Compensation Range ( Northern California Region ) Base Salary: $76,200 $78,000 Cost of Living Adjustment: $4200 - $25,800 Depending on location Total Compensation Range: $80,400 - $103,800 (Salary + COLA) (de...

23h ago

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