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Staff Scientist, Direct & Connect

9-10 Years
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Job Description

About The Role

  • We're hiring a Staff Scientist for Uber's Direct, Connect, and Grocery Delivery team-three of the company's fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime.
  • In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber's delivery platforms. You'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights-ensuring every decision is grounded in rigorous, data-driven thinking.
  • We're looking for someone with deep analytical expertise and a strong business mindset-an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products.

What You'll Do

  • Serve as Science Tech Lead (IC) for a team based in India, supporting Uber's Direct, Connect, and Grocery Delivery business.
  • Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences.
  • Translate complex data into actionable insights for executives and cross-functional stakeholders.
  • Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap.
  • Mentor scientists and promote best practices in data science and machine learning.
  • Foster a culture of scientific rigor and strong cross-functional collaboration.

What You'll Need

  • Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields.
  • 9+ years of industry experience as an (Applied / Data) Scientist or equivalent.
  • Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development.
  • Experience in experimental design and analysis.
  • Proficiency using Python, Spark at scale with large data sets.
  • Experience with tools like SQL, R in a production environment.

More Info

Job Type:
Employment Type:
Open to candidates from:
Indian

About Company

We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. It’s our lifeblood. It runs through our veins. It’s what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. We’ve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. We’ve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.

Job ID: 121609685

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