Sr Data Scientist

About the Role

Key Responsibilities

• 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.

Requirements

• 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).

Nice to Have

• 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.

Qualifications

• Educational background in a quantitative field such as Math, Economics, Bioinformatics, Statistics, Engineering, or Computer Science.
• Industry experience as specified in the requirements.

Benefits & Perks

• The base salary range for this role in San Francisco, CA is USD$169,000 to USD$188,000 per year.
• Eligibility to participate in Uber's bonus program, and potential equity awards and other compensation.
• Eligibility for various benefits as detailed at https://www.uber.com/careers/benefits.