Data Science Manager - Core Analytics and Science at Uber (San Francisco, CA)

| San Francisco, CA
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About the Role
The Core Analytics & Science Team (CAS) is Uber's largest data science organization, covering both of Uber's main lines of business as well as the underlying platform technologies that power those businesses. We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through analytic, statistical, and algorithmic expertise.
Here are some of the teams that make it happen:
  • Platforms: Develops the common systems and technical foundations that power Uber's core trip experience (e.g., pickup/dropoff, time prediction, route selection, navigation), post-trip customer support and business reporting. Also develops novel experimental design and statistical models that power the company-wide experimentation platform.
  • Eats: Uber Eats is Uber's ambitious and rapidly expanding on-demand food delivery business currently operating in more than 45 countries globally and is the largest outside of China.
  • Rides: Rides Data Science at Uber uses data to improve and automate all aspects of Uber's core ridesharing products.
What you'll do
  • Manage a team of 3-5 highly skilled analysts to deliver projects, with high quality and on time
  • Collaborate with business leaders to manage project intake, roadmap, prioritize, and manage staffing against key initiatives
  • Develop data-driven business insights and work with the team and cross-functional partners to identify opportunities, drive product strategy, planning, and execution
  • Drive understanding of our users and their interaction with our products, through in-depth analyses of user interaction and engagement
  • Define how our teams measure success, by developing Key Performance Indicators and other user/business metrics, in close partnership with Product Management and other disciplines such as engineering, operations and marketing
  • Run experiments and develop dashboards and data visualizations to enable observability and to communicate results to leadership. Provide rigorous technical mentorship to the team.
  • Answer complex business questions and define new and existing product metrics via SQL queries to enable business and product owners to make critical decisions
Basic Qualifications
  • M.S. or Bachelors degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative fields.
  • Minimum 2 years of management experience
  • Basic understanding of experimental design (such as A/B experiments) and statistical methods
  • Advanced SQL expertise
  • Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (eg with Tableau, Mixpanel, Looker, or similar)
  • Ability and experience in extracting insights from data, and summarizing learnings / takeaways
Preferred Qualifications
  • Minimum 5 years of industry experience as a Product Analyst or equivalent
  • Communication and stakeholder management skills - ability to influence and build alignment by clearly communicating and presenting information
  • Ability to understand and prioritize business goals and strategies
  • Project management skills - Ability to drive projects end-to-end
  • Willingness to learn new methodologies and adapt to business needs and goals
  • Ability to deliver on tight timelines and move quickly with cross-functional teams to execute on decisions while maintaining attention to detail
  • Advanced experience with experimental design and statistical methods
  • Have a growth mindset; love solving ambiguous, challenging and impactful problems!
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