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 Data Scientist II for their Airports and Travel segment to analyze data and provide insights that shape the future of travel products. You'll work with SQL and data analysis techniques in a hybrid work environment based in San Francisco.

Job Description

Who you are

You have a strong background in data science, with experience in solving complex business problems using data. You are skilled in developing data-driven hypotheses and running experiments to test them, ensuring that your insights can guide product development effectively. Your communication skills are top-notch, allowing you to convey complex findings to stakeholders and business leaders clearly. You thrive in collaborative environments, working closely with product managers, engineers, and fellow data scientists to drive a culture of data-driven decision-making.

You possess a deep understanding of data analysis techniques and are proficient in SQL, enabling you to extract meaningful insights from large datasets. Your ability to define metrics that measure business health is crucial, as you monitor these metrics to ensure strong execution of strategies. You are comfortable working in fast-paced environments and can adapt quickly to changing priorities while maintaining a focus on delivering impactful results.

Desirable

Experience with experimentation frameworks and A/B testing methodologies is a plus, as it will enhance your ability to validate hypotheses and drive product improvements. Familiarity with the travel industry or user experience design can also be beneficial in understanding the unique challenges faced by Uber travelers.

What you'll do

In this role, you will tackle open-ended business problems, such as identifying ways to increase Uber Eats usage among travelers. You will develop and test hypotheses through rigorous experimentation, communicating your findings to influence business strategy. Your responsibilities will include defining key performance metrics and monitoring them to ensure the health of the business. You will collaborate with cross-functional teams, including product, engineering, and operations, to foster a culture of data-driven decision-making across the organization.

You will also be expected to stay updated on industry trends and best practices in data science, continuously seeking opportunities to apply new techniques and tools to enhance your work. Your insights will play a critical role in shaping the future of Uber's travel products, ensuring that they meet the needs of users effectively.

What we offer

Uber provides a dynamic work environment where you can make a significant impact on the travel experience of millions of users. You will have access to planet-scale data, allowing you to deliver insights that drive real change. The company values collaboration and encourages employees to share their ideas and insights openly. Additionally, Uber offers competitive compensation and benefits, along with opportunities for professional growth and development within the organization.

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