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Staff Scientist, Direct & Connect

Staff Scientist, Direct & Connect

ConfidentialBengaluru / Bangalore
30+ days ago
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.
  • Skills Required

    Data Analysis, Statistical Modeling, Machine Learning, Bioinformatics, Experimental Design, Data Visualization

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