Live opening · Posted 5 days ago

Senior Scientist - Marketplace (Multiple Teams)

Uber · New York City, NY, United States
Oracle
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyUber
LocationNew York City, NY, United States
SourceOracle
Listed5 days ago

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About the role

Description supplied by the original job listing.

About the Role of Science
End-to-end product development from a data, analytics, modeling, and experimentation perspective. Specifically, formulating ambiguous business problems, prototyping various machine learning & optimization & causal inference & marketplace dynamics models, producing data insights, and designing & analyzing experiments.
We are building the future of Uber's mobility and logistics platforms. Our teams drive innovation across critical areas including:
A central pillar of Uber’s delivery products, serving as the "brain" of the operation. We drive every decision that enables orders to go from point A to point B — from Uber Eats & Grocery, to newer verticals like Uber Direct and Connect. We’re responsible for running an efficient marketplace with dispatch & pricing decisions.
We enhance user experience and growth for Uber One, a fast-growing program providing members with exclusive benefits, best prices, and priority across the platform.
What you will do
Solve ambiguous, challenging business problems using data-driven approaches including ML, Optimization, Causal Inference.
Develop and implement statistical/econometric methodologies to improve results validity, power and generalizability.
Develop data-driven business insights and work with cross-functional customers to find opportunities and recommend prioritization of product, growth, and optimization initiatives.
Design and analyze experiments, and present results that provide actionable recommendations.
Orient the teams around data-driven product development by driving the creation of logging, metrics, data visualization, and diagnostic tools, and experimentation paradigms.
Define how our teams measure success, by developing metrics, in close partnership with cross-functional partners.
Own the product development cycle end to end from data and science aspects.
Basic Qualifications

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