Data Scientist I at Uber in Dallas, TX

Summary: Uber is a company focused on reimagining the way the world moves for the better. As a Data Scientist I, you will solve high-value problems involving the production and sharing of legal and security data, ensuring compliance with regulations while enabling growth in new markets. Responsibilities: - Develop & Automate: Build and maintain robust data pipelines that support external data sharing for critical legal and regulatory mandates - Visualize Insights: Design and deploy automated dashboards to provide visibility into compliance metrics and security data for executive stakeholders - Optimize Systems: Refactor manual reporting and data sharing processes into scalable, tech-enabled integrations that reduce human error and business risk - Ensure Data Integrity: Perform rigorous data validation and auditing to ensure that security and public safety datasets are accurate, complete, and secure - Collaborate Cross-Functionally: Partner with Operations, Legal and Compliance teams to define technical requirements for new market entries and regulatory audits Required Qualifications: - Bachelor's degree in a quantitative field (e.g., CS, Statistics, Physics, Engineering) - 1+ years of professional experience in Data Science or Data Engineering - Ability to write, optimize, and debug complex queries against large-scale distributed databases - Proficiency in Python for data analysis, scripting, and pipeline automation (e.g., Pandas, NumPy, or similar frameworks) Preferred Qualifications: - Experience incorporating AI tools into existing process, focused on sustainable process improvement balanced with security and guardrails - Hands-on experience with enterprise visualization tools (e.g., Tableau, Looker, or PowerBI) to create automated, self-service visuals - Experience documenting analysis and ensuring auditable processes - Familiarity with data privacy standards (GDPR/CCPA) or security-focused data engineering practices - Ability to translate complex data constraints into actionable insights for Legal, Security, and Public Safety partners Required Skills: SQL, Python, Pandas, NumPy, Data Science, Data Engineering, Tableau, Looker, PowerBI, Data privacy standards (GDPR/CCPA), Security-focused data engineering, Strategic Communication Benefits: Eligible to participate in Uber's bonus program, May be offered an equity award & other types of comp, All full-time employees are eligible to participate in a 401(k) plan, Eligible for various benefits, If you have a disability or special need that requires accommodation, please let us know by completing [this form](https://forms.gle/aDWTk9k6xtMU25Y5A), Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office