Sr Data Scientist

Uber • United States, United States • 2w ago

About the Role

At Uber, we want our platform to be the best one for our users. A key strategic priority in improving their experience is making sure that the policies, processes and tools in gaining and maintaining access to the Uber platform are transparent and fair. We want to make sure that when access is at risk or lost, users have a clear, transparent and empathetic experience that adheres to a global standard consistently. As a Data Scientist on the Account Actioning Data Science team, you get to use your quantitative skill set, obsession and empathy towards customers and collaborative spirit to work closely with Product, Ops, Engineering, and Data Scientists to provide data driven insights to find new opportunities to take our product and business to the next level.

What the Candidate Will Need / Bonus Points

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.

Present findings to senior management to inform business decisions.

M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields. (If M.S. degree, a minimum of 3+ years of industry experience required and if Bachelor's degree, a minimum of 4+ years of industry experience as a Product Analyst or equivalent)

Advanced SQL expertise, proficiency in Python

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)

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

5+ years industry experience in consumer facing product analytics

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

Advanced experience with experimental design and statistical methods such as causal Inference.

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

Strong judgment, critical-thinking, and decision-making skills

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

Balance attention to detail with swift execution

For San Francisco, CA-based roles: The base salary range for this role is USD$169,000 per year - USD$188,000 per year. 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

Uber

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