Uber

About Uber

Reimagining transportation for a better world

🏒 TechπŸ‘₯ 1001+ employeesπŸ“… Founded 2009πŸ“ Mission Bay, San Francisco, CAπŸ’° $15.8b⭐ 3.9
B2CTravelMarketplaceTransportRidesharingDelivery

Key Highlights

  • Public company (NYSE: UBER) since May 2019
  • Completed over 1.5 billion trips globally
  • Generated $4.8B in revenue from Uber Eats in 2020
  • Raised $15.8 billion in funding

Uber Technologies, Inc. (NYSE: UBER) is a leading ride-hailing platform headquartered in Mission Bay, San Francisco, CA. Founded in 2009, Uber has transformed transportation services, completing over 1.5 billion trips globally. The company went public in May 2019 and has raised $15.8 billion in fund...

🎁 Benefits

Uber provides comprehensive healthcare, a robust employee stock purchase plan, generous paid vacation, and a four-week sabbatical after five years of ...

🌟 Culture

Uber fosters a culture of innovation and adaptability, continuously expanding its services beyond traditional ride-hailing. The company emphasizes wor...

Overview

Uber is hiring a Staff Scientist in Mobility Matching to develop data-driven insights and optimize trip fulfillment systems. You'll work with Machine Learning, Statistics, and Data Analysis in San Francisco.

Job Description

Who you are

You hold a Ph.D. or M.S. in Statistics, Economics, Machine Learning, Operations Research, or a related field β€” your academic background equips you with a strong foundation in causal inference and modeling techniques. You have experience in designing and analyzing experiments, which allows you to draw actionable conclusions from data. Your ability to collaborate with cross-functional teams is essential, as you will work closely with product, engineering, and operations to drive system development from concept to final product.

You relish the opportunity to develop novel approaches to complex problems β€” your analytical mindset helps you identify business opportunities and deliver impactful product recommendations. You are comfortable working at scale, understanding the nuances of deploying models and algorithms in a high-traffic environment. Your passion for data-driven decision-making is evident in your previous work, where you have successfully influenced product strategies through rigorous analysis.

Desirable

Experience with optimization algorithms and machine learning models is a plus β€” you understand how to apply these techniques to improve mobility matching systems. Familiarity with programming languages such as Python or R will enhance your ability to contribute to the team's technical discussions. You are a proactive communicator, able to convey complex ideas clearly to stakeholders at all levels.

What you'll do

In this role, you will develop data-driven business insights that inform product, growth, and optimization initiatives β€” your work will directly impact how earners are matched to trips on the Mobility platform. You will design and analyze experiments, communicating results that lead to detailed and actionable conclusions. Your contributions will include analyzing and developing optimization algorithms and machine learning models that enhance the mobility matching process.

Collaboration is key in this position; you will work with cross-functional teams to drive system development from conceptualization to final product. You will be responsible for identifying opportunities for improvement and recommending prioritization strategies based on your analyses. Your insights will help maintain reliability and trust within the Uber platform, ensuring a seamless experience for both riders and earners.

What we offer

Uber provides a dynamic work environment where innovation is encouraged β€” you will have the opportunity to work on challenging problems that have a real-world impact. The company values collaboration and fosters a culture of continuous learning, allowing you to grow your skills and advance your career. Competitive compensation and benefits are part of the package, along with the chance to be part of a team that is shaping the future of mobility.

You will also have access to resources and support that enable you to thrive in your role β€” whether it's through professional development opportunities or a collaborative team atmosphere, Uber is committed to your success. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

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