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Data Science & Analytics

at Uber

Be part of a world-class team of Data Scientists and Analysts that transform data into magical experiences.

Why Data Science & Analytics at Uber?

Cutting Edge Innovations

Our team works together to build world-class fundamental and innovative data science solutions.

Growth Opportunities

We have a strong community of world-class domain experts who foster an environment of continuous learning and teaching.

Impact & Reach

The Data Science & Analytics team helps implement solutions that are used by millions of people every day.

Spotlight

  • person

    Data Science at Scale: A Conversation with Uber’s Fran Bell

  • person

    Talking Safety with Uber Data Scientist Sunny Jeon

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    Engineering More Reliable Transportation with Machine Learning and AI at Uber

  • document

    Machine Learning: The Next Generation of Customer Experience

Explore our Data Science & Analytics teams

Safety & Insurance

The Safety and Insurance Data Science and Analytics team specializes in rare events. The team works closely with stakeholders across Product, Engineering, Operations, Marketing, and Legal to build new product features, implement machine learning algorithms, and optimize safety policies to help reduce safety incidents and make safer for riders, driver, eaters, restaurants, and all people who use Uber’s platform.

Rides

The Rides Data Science team uses data to improve and automate all aspects of Uber’s core ridesharing products. Key subteams include Driver, Forecasting, Global Intelligence, Maps, Marketplace Controls, Matching, NeMo (New Mobility), Pricing/Loyalty, Rider, and Uber for Business.

Risk

Risk DS and Analytics teams provide insights and develop machine learning models and strategies to combat payment fraud and marketplace abuse, improve account security and integrity, and minimize credit risk for financial products.

Eats

Uber Eats Data Scientists help solve the most challenging problems related to Uber's ambitious and rapidly expanding Uber Eats business. These fascinating and difficult problems include personalized search and recommendation for restaurants and dishes, travel and food preparation time prediction, text mining and natural language processing, demand and supply forecasting, growth and spend optimization, dynamic pricing, dispatch and routing optimization, and many more.

Policy

Our policy data scientists support our policy issue experts around the world, equipping them with data to support our public policy positions. The Economics team produces in-house research and collaborates with world-leading academics to understand our marketplace and improve our product.

Platform

The Platform Data Science team works at the intersection of data science and engineering. Domain experts develop and advance platforms, including the platforms for Forecasting, Experimentation, Anomaly Detection, Computer Vision, Conversational AI, Sensing and Perception, and City Platforms. We also are the Data Science and Analytics partners for Finance, Customer Obsession, Infrastructure, Growth Platform and Office of the CTO and provide Behavioral Science insights across Uber.

Marketing

Marketing data science informs decisions across Uber’s global marketing efforts, accelerating both demand and supply growth worldwide. We leverage advanced statistical modeling, machine learning, or data mining techniques in a scalable manner including large scale data processing such as Spark, Hive, and Uber’s proprietary machine learning platform, and more.

Find open roles

8 open roles

Sub-Team
Data Science
Location
San Francisco, California
Sub-Team
Data Science
Location
San Francisco, California
Sub-Team
Data Science
Location
San Francisco, California
Sub-Team
Data Science
Location
San Francisco, California
Sub-Team
Data Science
Location
San Francisco, California