This is a highly technical role — you'll need strong experience with SQL and Python to analyze large datasets, design scalable prevention strategies, and build automations that help our marketplace stay clean, fair, and high-performing!
What You'll DoInvestigate and Analyze: Use advanced SQL and Python to identify abnormal patterns, abuse signals, and fraud trends across our delivery ecosystem.
Build Prevention Mechanisms: Design and implement scalable solutions to prevent and mitigate abuse, working alongside Product, Ops, and Engineering teams.
Automate & Scale: Create tools, dashboards, and automations to proactively flag abuse and streamline investigation processes.
Collaborate Cross-Functionally: Partner with Risk, Ops, Product, Legal, and Support to define policies and scale initiatives.
Drive Strategy: Bring structure to ambiguity and help define the roadmap to protect one of Uber’s fastest-growing business lines.
1-2 years of professional experience in data analysis, fraud investigation, operations strategy, or a similar analytical field
Strong proficiency in SQL and Python — this is a hands-on, technical role
Experience working with large datasets and turning data into action
Critical thinking and structured problem-solving skills
Comfort working with ambiguity and fast-moving, high-impact teams
Bonus: Knowledge of fraud signals, marketplace dynamics, or delivery business models
Professional working proficiency in English
* 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 .
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