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Employer
About Uber
Uber Technologies, Inc. is the world’s largest, San Francisco-based mobile technology platform facilitating on-demand ride-hailing, food delivery (Uber Eats), and freight transportation across approximately 70 countries.
Scientist II - Marketplace (Multiple Teams) is a role across several specialized teams including delivery logistics, membership, maps, and experimentation. You will solve complex business problems using machine learning, optimization, and causal inference to build large-scale technologies like real-time matching systems, travel time predictions, and membership growth models. Day-to-day responsibilities involve developing statistical and econometric methodologies, designing experiments, creating data visualization tools, and providing actionable insights for product development. The role requires proficiency in Python or R for algorithm prototyping and SQL for managing large datasets. Candidates must possess a background in economics, statistics, machine learning, or operations research. You will work on critical marketplace problems such as intelligent pricing, route recommendation, and building robust experimentation platforms to power core trip flows and internal decision systems across the rides and eats business segments.
Machine Learning
Optimization
Causal Inference
Python
R
SQL
Spark
Scala
Java
Go
Statistics
Experimentation
Data Visualization
Exploratory Data Analysis