Data Scientist II

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 ----

1. Refine ambiguous questions and generate new hypotheses about the product and business through a deep understanding of the data, our customers, and our business.
2. 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.
3. Collaborate with data scientists and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
4. 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 ----

1. 3+ years proven experience in product analytics or ontological data modeling.
2. M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
3. Advanced SQL and Python expertise.
4. Basic understanding of experimental design (such as A/B experiments) and statistical methods.
5. Ability and experience in extracting insights from data, and summarizing learnings / takeaways.
6. Experience with Excel and some dashboarding/data visualization (i.e. Tableau, Mixpanel, Looker, or similar).
7. Excellent judgment, critical-thinking, and decision-making skills.

---- Preferred Qualifications ----

1. Advanced degrees in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative fields.
2. 4+ years industry experience in consumer facing product analytics.
3. Strong storytelling: distill interesting and hard-to-find insights into a compelling, concise data story.
4. Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds.
5. Ability to solve complex business problems that cross multiple product/project areas and teams.
6. 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's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together.

Uber is proud to be an Equal Opportunity 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.

Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.

Client-provided location(s): San Francisco, CA, New York, NY

Job ID: Uber-148139

Employment Type: FULL_TIME

Posted: 2025-09-25T00:29:07