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Senior / Staff Data Scientist, Product - Rides, Eats, Grocery

Product Analyst, Data Science
in San Francisco, California

About the Role

Are you interested in driving business and product strategy? What about using data to answer difficult questions and come up with interesting insights? If so, then this is the job for you! You’ll get to use your quantitative skills, obsession and empathy towards customers and collaborative spirit to work closely with Product, Ops, Engineering, and Applied Scientists to provide data driven insights to find new opportunities to take our products to the next level.

As a Data Scientist in Uber’s core analytics and sciences group, focused on Product Analytics, you’ll work on:

  • The analysis, manipulation, and visualization of data
  • Establish data foundations for observability and monitoring through data engineering and ETL work
  • Uncovering and communicating product or business insights and strategy
  • Defining metrics and designing & analyzing experiments, such as a/b tests

Note on related roles:

While Data Scientists in this role may extend and apply machine learning or statistical models, if you’re interested in a role focused on advanced modeling, please check out our Applied Science roles instead.

About the Teams

We are a key part of Uber's cross-functional product development teams, helping to drive every stage of product development through data analytic, statistical, and algorithmic expertise. Here are the teams that make it happen:

Eats & Grocery: Data Scientists in Delivery (Eats & Grocery) work on Uber's ambitious and rapidly growing on-demand delivery business, which operates in more than 45 countries and is the largest delivery platform outside of China. Delivery is a 3-sided marketplace, comprising Eaters, Couriers, and Merchants (mostly Restaurants, but also Grocery, Pharmacy, Alcohol and others). Data Scientists solve many exciting problems across our consumer Eats app, merchant tooling, and marketplace automation.

Rides: Data Scientists in Rides use data to improve and automate all aspects of Uber's core ridesharing products. For drivers, we are creating a seamless product experience across the driver journey: matching drivers to cars, smoothing onboarding onto our platform, and creating a stress-free trip experience. For Riders, we’re building products that create an amazing experience from request to destination.

Platforms: Data Scientists in Platforms help develop the common systems and technical foundations that power Uber's customer experiences externally and core decision-making internally, including:

  • 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.

What You'll Do

  • 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.

Basic Qualifications

  • 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)

Preferred 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
  • 1+ years of experience providing technical leadership
  • 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

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

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.

Uber is committed to a safe workplace. We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines. Workplace safety remains our number one priority. As a result, Uber recommends all US- and Canada-based employees to be vaccinated in order to access any of our facilities; this is subject to change solely at the Company’s discretion.

At Uber, we reimagine the way the world moves for the better. The idea was born on a snowy night in Paris in 2008, and ever since then, our DNA of reimagination and reinvention carries on. We’ve grown into a global platform moving people and things in ever-expanding ways, taking on big problems to help drivers, riders, delivery partners, and eaters make movement happen at the push of a button for everyone, everywhere.

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together.

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.

Uber is committed to a safe workplace.  We have implemented COVID-19 safety protocols that meet or exceed local public health guidelines.  Workplace safety remains our number one priority.  As a result, and depending on the workplace location, Uber either requires* or recommends employees be vaccinated to access any of our facilities; this is subject to change solely at the Company’s discretion.

\* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com


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Uber is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran Status, or any other characteristic protected by law.