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Data Scientist, Product Analytics Rides, Eats, Grocery, Maps, Platforms (All Levels)
Posted on 3/21/2022
Seattle, WA, USA • San Francisco, CA, USA • New York, NY, USA
Experience Level
Desired Skills
Data Analysis
Data Science
  • Maps: Data Scientists on Maps develop geospatial technologies that underlie Uber's systems-GPS location inference, travel time prediction, route recommendation, navigation, pickup & dropoff location setting and experience optimization, etc
  • Uber for Business: The U4B team aims to bring the power of Uber to organizations, their employees, and their customers
  • Experimentation: The XP platform at Uber supports novel experimentation designs and measurements for 2-sided and 3-sided marketplaces, powering company-wide experimentation for tens of thousands of experiments. XP is critical in providing reliable, trustworthy and agile experimentation enabling our business and product decisions
  • Master's or Bachelor's degree in Math, Economics, Bioinformatics, Statistics, Engineering, Computer Science, or other quantitative field. (If Master's degree, 1+ years of industry experience required; if Bachelor's degree, 2+ years of industry experience as a Data Scientist or equivalent)
  • Advanced experience in at least one of SQL, Python, or R
  • Basic understanding of experimental design (such as A/B experiments) and statistics fundamentals
  • Experience in extracting insights from data and explaining their implications
  • Experience with Excel and some dashboarding/data visualization (e.g., Tableau, Mixpanel, Looker, or similar)
  • The analysis, manipulation, and visualization of data
  • Some data engineering/ETL (extract-transform-load) work
  • Providing product or business insights and strategy
  • Defining metrics and designing & analyzing experiments, such as a/b tests
  • Refine ambiguous questions and generate new hypotheses about the product through a deep understanding of the data, our customers, and our business
  • Design experiments and interpret the results to draw detailed and impactful conclusions
  • 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 applied 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 find opportunities and recommend prioritization of product, growth, and optimization initiatives
Desired Qualifications
  • Advanced degree in Math, Economics, Statistics, Engineering, Computer Science, Operation Research, Machine Learning or other quantitative field
  • 5+ years industry experience in consumer-facing data science
  • Strong storytelling: ability to distill interesting and hard-to-find insights into a compelling, concise data story
  • Advanced experience with experimental design and statistical methods for causal inference
  • Ability to communicate effectively and manage relationships with partners coming from both technical and non-technical backgrounds
  • Willingness to get your hands dirty with messy data to find opportunities and uncover insights
Ride-sharing app
Company Overview
Uber's mission is to reimagine the way the world moves for the better. The company operates a ride-sharing platform that provides more than 15 million rides each day.