Staff Applied Scientist, Road Safety

Staff Applied Scientist, Road Safety Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** The Road Safety team is dedicated to safeguarding the Uber platform by applying cutting-edge data science and machine learning to proactively mitigate and make rare safety events even rarer. As a Staff Applied Scientist, you will be responsible for setting the technical direction to develop and deploy high-impact, production-ready machine learning models, conducting rigorous deep-dive analyses to inform strategy, and designing/evaluating complex experiments (A/B testing). Your work will play an influential and highly visible role in driving critical product, policy, and engineering decisions that ensure our platform is as safe as possible for all users globally. **What the Candidate Will Do** - Technical Leadership & Strategy: Define the strategic roadmap and set the technical direction for developing and deploying large-scale, high-performance machine learning systems focused on proactive safety prediction and mitigation. - Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact. - Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities. - Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout. - Cross-Functional Influence: Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company-wide safety policies. **Basic Qualifications** - Education: Ph.D. in Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative field, OR equivalent experience. - Experience: 8+ years (with Ph.D.) or 10+ years (with M.S. or B.S.) of industry experience building and deploying machine learning models or conducting high-impact applied data science in