Uber

About Uber

Reimagining transportation for a better world

🏢 Tech👥 1001+ employees📅 Founded 2009📍 Mission Bay, San Francisco, CA💰 $15.8b3.9
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...

Skills & Technologies

Overview

Uber is hiring a Principal Scientist for Lever Efficiency to lead the creation of a company-wide efficiency measurement framework. You'll work with complex data to identify untapped opportunities for growth and profitability. This role requires expertise in econometrics and causal inference.

Job Description

Who you are

You have a strong background in data science and econometrics, with a proven track record of building measurement frameworks that drive business efficiency. Your experience includes working with complex datasets and turning messy data into actionable insights that can significantly impact a global business. You possess the leadership skills necessary to align multiple teams towards a common goal, ensuring that everyone is working towards a unified source of truth. You thrive in high-stakes environments and are comfortable navigating ambiguity, always looking for innovative solutions to complex problems.

You have a deep understanding of marketplace dynamics and how various levers such as pricing, matching, and customer support can influence overall business performance. Your analytical skills are complemented by your ability to communicate complex concepts clearly to stakeholders at all levels. You are not just technically proficient; you are also a strategic thinker who can challenge existing assumptions and drive change within the organization.

What you'll do

In this role, you will architect and lead the development of a comprehensive efficiency measurement framework that will be implemented across the company. This framework will help identify where the next billion dollars of efficiency can be unlocked, focusing on areas such as pricing and customer interactions. You will collaborate with various science teams to ensure that the framework is robust and provides meaningful insights into marketplace health and profitability.

You will be responsible for identifying arbitrage opportunities where digital decisions and real-world impacts are misaligned. This involves analyzing large datasets, conducting causal inference studies, and presenting your findings to senior leadership. Your work will directly influence strategic decisions and help shape the future of Uber's marketplace operations.

You will also mentor and guide junior scientists, fostering a culture of collaboration and innovation within your team. By leveraging your expertise, you will help develop the next generation of data scientists at Uber, ensuring that they have the skills and knowledge to succeed in a rapidly evolving industry.

What we offer

Uber provides a dynamic work environment where you can make a significant impact on a global scale. We offer competitive compensation packages, including salary and benefits that reflect your experience and contributions. You will have the opportunity to work with cutting-edge technologies and collaborate with some of the brightest minds in the industry. 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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