Applied Machine Learning Scientist

Applied Machine Learning Scientist Department: Data Science Team: Data Scientist Location: San Francisco, United States Type: Full-Time **About the Role** The Trusted Identity Applied Science team (IDML) builds ML models and GenAI solutions to detect and mitigate identity fraud on Uber platform and across all LoBs. Part of Uber Core Services organization, the team is focused on building large-scale modeling solutions to make sure only legitimate, verified and authorized users can access Uber products and services. As a member of a concentrated team of ML model developers, you will play an influential role in building solutions in a highly cross-functional and collaborative environment and help make our platform as safe as possible for all users. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Design and deploy a diverse suite of ML, Deep Learning, NLP models, and GenAI to detect and mitigate platform abuse, ensuring a secure environment for all users. 2. Leverage a broad toolkit of supervised and unsupervised techniques, including time-series forecasting and anomaly detection, to identify emerging threat vectors. 3. Conduct rigorous offline evaluations and online A/B testing, utilizing causal inference to balance high-precision fraud prevention with a seamless user experience. 4. Take full ownership of the model lifecycle, moving from initial prototype to "0 to 1" production deployment in close collaboration with engineering teams. 5. Architect and build sophisticated internal data tools to automate manual detection tasks and empower analysts with real-time anomaly detection capabilities. 6. Partner with a multidisciplinary team of Product Managers, Data Analysts, and Software Engineers to translate complex findings into actionable product strategies. \-\-\-\- Basic Qualifications ---- 1. Masters or PhD in Computer Science, Machine Learning, Statistics, Operations Research, or a related quantitative field. 2. Deep theoretical knowledge of statistics, linear algebra, optimization, and the foundations of Generative AI. 3. Exceptional analytical skills