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.
Want more jobs like this?
Get Science and Engineering jobs in Bangalore, India delivered to your inbox every week.
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.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.