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Senior Data Scientist, Regulatory Analytics

Uber

$169,000 - $188,000
Nov 6, 2025
Sunnyvale, CA, United States of America
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Uber is seeking a senior data scientist to ensure compliance with local regulations in the dynamic mobility and delivery space by providing data expertise and leadership to guide strategic decisions and improve processes.

Requirements

  • Excellent Excel and SQL skills for data extraction and manipulation.
  • Demonstrated experience with at least one scripting language (Python, R preferred) for data analysis, automation, and pipeline building.
  • Experience with Hive, Spark, and other big data tools.
  • Background in rideshare, delivery or regulatory reporting.
  • Experience working with Legal, Compliance, Operations teams.
  • Strong ability to translate business questions and regulatory requirements into analytical frameworks and actionable insights.
  • Balance keen attention to detail with swift execution and creative problem solving.

Responsibilities

  • Develop a deep understanding of what safety means on the Uber platform globally, and the actions we need to take to ensure safe and fair access to the platform.
  • Become a subject matter expert on our safety, actioning and compliance datasets, guiding stakeholders on how to interpret and act on the data.
  • Perform swift, ad-hoc, deep-dive analyses to provide critical insights and data to inform our response to regulatory and legal requirements, balancing accuracy with speed.
  • Provide insights and context around regulatory data to stakeholders, highlighting risks, anomalies, or trends.
  • Collaborate with Legal and Policy teams to translate complex regulatory requirements into clear data needs and communicate findings in a clear, concise, and actionable way.
  • Define data requirements and generate reporting to external regulatory and legal entities.
  • Work closely with cross-functional partners in Engineering and Product to build, maintain, and overhaul data pipelines and monitoring systems that ensure continuous compliance.

Other

  • Minimum of 6 years of professional experience in a data analytics-focused role.
  • BA/BS in Economics, Finance, Math, Statistics, or a similar field.
  • A passion for using data to improve real-world operations and solve complex, ambiguous problems.
  • Ability to work with cross-functional partners in Engineering and Product.
  • Ability to present findings to senior management to drive decisions.