Applied Scientist II

Applied Scientist II Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Team** We are looking for an Applied Scientist to join the Safety Science Team. At Uber, Stand for Safety is one of our core values. In this role, you’ll have the amazing opportunity to help contribute to making the Uber platform as safe as possible by leveraging analytics and machine learning. You’ll have a chance to work with a highly cross-functional team, including product management, engineering, and operations to deliver impact. This will include owning the end-to-end applied science workflow on high visibility projects such as problem scoping, deep-dive analysis to size up opportunities and to surface insights, developing models, and driving experimentation. You’ll be able to present findings to partners and leadership. **About the Role** 1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact. 2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities. 3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout. **What the Candidate Will Need** \-\-\-\- What the Candidate Will Do ---- 1. Modeling & Production: Design, develop, and deliver sophisticated applied ML models from ideation to production, ensuring robustness and measurable safety impact. 2. Deep-Dive & Insights: Conduct complex, rigorous deep-dive analyses and causal inference to uncover root causes and identify high-leverage safety opportunities. 3. Experimentation: Own the design, analysis, and interpretation of A/B experiments to rigorously evaluate product and policy changes before platform rollout. 4. Cross-Functional Influence: Partner closely with Product Managers, Engineers, and Policy teams to translate data-driven insights into critical product features and company