Data Scientist I

Data Scientist I Department: Data Science Team: Data Scientist Location: Chicago, United States Type: Full-Time **About the Role** Working at Uber means solving hard problems in a high-stakes, fast-moving environment. You’ll need to take ownership, stay adaptable, and build with both urgency and care, using tools, and agentic AI, available to increase productivity. The DESS team is the technical engine that helps the business navigate complex data requirements with automated, scalable solutions. As a Data Scientist I, you will solve high-value problems involving the production and sharing of legal and security data, directly reducing business risk and operational costs. Your work will ensure compliance with regulations while unlocking growth by enabling our entry into new, highly-regulated markets. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Develop & Automate: Build and maintain robust data pipelines that support external data sharing for critical legal and regulatory mandates. 2. Visualize Insights: Design and deploy automated dashboards to provide visibility into compliance metrics and security data for executive stakeholders. 3. Optimize Systems: Refactor manual reporting and data sharing processes into scalable, tech-enabled integrations that reduce human error and business risk. 4. Ensure Data Integrity: Perform rigorous data validation and auditing to ensure that security and public safety datasets are accurate, complete, and secure. 5. Collaborate Cross-Functionally: Partner with Operations, Legal and Compliance teams to define technical requirements for new market entries and regulatory audits. \-\-\-\- Basic Qualifications ---- 1. Education & Experience: Bachelor’s degree in a quantitative field (e.g., CS, Statistics, Physics, Engineering) and 1+ years of professional experience in Data Science or Data Engineering. 2. Proficiency in SQL: Ability to write, optimize, and debug complex queries against large-scale distributed databases. 3. Python Programming: Proficiency in Python for data analysis, scripting, and p