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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.