About the Role
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.
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.
* 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 .