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 Senior Data Scientist to lead the Merchant Optimization team in developing data-driven solutions that enhance marketplace efficiency. You'll leverage A/B testing and machine learning to drive strategic decisions. This role requires strong analytical skills and experience in data science.

Job Description

Who you are

You have 5+ years of experience in data science, with a proven track record of driving impact through sophisticated analytical methods. Your expertise in machine learning and A/B testing allows you to design and execute rigorous experiments that optimize pricing and marketplace dynamics. You possess strong technical skills and the ability to collaborate effectively with product, engineering, and operations teams to bring scalable solutions to life.

You are a natural leader and mentor, fostering a culture of innovation and impact within your team. Your analytical mindset enables you to generate actionable insights from large-scale data sets, informing both short-term execution and long-term product direction. You advocate for best practices in data science, model monitoring, and causal inference, ensuring alignment with business goals.

What you'll do

In this role, you will lead and mentor a team of data scientists and applied scientists, guiding them in their projects and fostering a collaborative environment. You will design and execute A/B experiments to optimize various marketplace levers, including pricing and incentives. Collaborating cross-functionally with engineering, product, and operations teams, you will drive strategic decision-making that maximizes merchant ROI and enhances growth and profitability across the Delivery business.

You will define and measure key success metrics, ensuring that your team's efforts align with Uber's business objectives. Your work will directly shape Uber's strategy by leveraging advanced experimentation and a deep understanding of marketplace dynamics. You will advocate for best practices in data science and contribute to the overall success of the Merchant Optimization team.

What we offer

Uber provides a dynamic work environment where you can make a significant impact on the company's strategy and operations. You will have the opportunity to work with cutting-edge technologies and methodologies in data science. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds.

You will be expected to spend at least half of your work time in the office, fostering collaboration and maintaining Uber's cultural identity. This role offers competitive compensation and the chance to be part of a team that is shaping the future of the marketplace.

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