Data Scientist II

Data Scientist II Department: Data Science Team: Data Scientist Location: Hyderabad, India Type: Full-Time **About the Role** At Uber, we empower people to earn and transact on the platform and to do this across the globe for millions of customers, we need to be compliant with local regulations and manage the risk that is associated with fraud losses. The Risk experience and platform Data Science team is responsible for keeping the platform safe from fraud losses while minimizing friction to good customers. This team drives scalable solutions & products to ensure frictionless experience by driving growth initiatives while keeping an eye on potential losses. We aim to create magical customer experiences by leveraging data and technology to capture insights, identify opportunities, and ultimately prioritize product and engineering initiatives. Does this sound exciting to you? Are you a tested teammate, strategic problem solver, and executor? We want to hear from you. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Build scalable analytical frameworks to support product analytics for Uber's Risk Experience and Governance Platform 2. Be an invaluable partner to cross-functional teams such as engineering, product management, various data teams to deploy data quality across critical pipelines and to set up processes to triage data issues 3. Develop and track metrics and reporting functions to measure and monitor risk products on our platform 4. Effectively and proactively communicate insights and drive projects to drive towards team goals 5. Proactively seek out opportunities to build new solutions to tackle Risk Experience and Governance Platform 6. Create and drive data quality standards and frameworks to ensure inclusion into pipeline engineering efforts \-\-\-\- Basic Qualifications ---- 1. 4+ years of experience in a data-focused role such as product analytics, business analytics, business operations, or data science 2. Education in Engineering, Computer Science, Math, Economics, Statistics or equivalent experience 3. Exp