Applied Scientist - Legal Data and Economics

**About the Role** Applied science can drastically advance and accelerate modern legal work. Uber’s legal applied science team uses applied science to partner with legal, compliance, and security professionals, harnessing the power of tools ranging from SQL queries to genAI. They partner with the Legal team globally and use their understanding of Uber data and the Uber platform to answer legal questions and inform legal and factual arguments with data. As part of this work, they analyze large datasets, create data pipelines, and build statistical models. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Build a deep, nuanced understanding of Uber’s large and unique data as well as its platform and communicate this understanding to lawyers, regulators, and other stakeholders 2. Propose, design, and execute data analyses, data pipelines, and statistical models to inform, enrich, and advance the work of our Legal Team and other teams across the company 3. Evaluate and quantify risk using a variety of quantitative methods for the Legal Team 4. Work in an inclusive and diverse team of data scientists who will support your development as a data scientist and who, in turn, you will influence and shape \-\-\-\- Basic Qualifications ---- 1. 4+ Years professional experience and demonstrated interest in quantitative analysis of legal, economic, or policy issues 2. Experience using and picking up data science tools to query (e.g., SQL) and analyze (e.g., Python, R) data at scale 3. Ability to collaborate and communicate well: building and managing relationships with clients, communicating with non-technical audiences, and collaborating with cross-functional partners 4. Ability to own and drive projects independently: balancing excellence and attention to detail with the need to prioritize work and deliver within tight deadlines \-\-\-\- Preferred Qualifications ---- 1. Advanced degree in relevant field (economics, statistics, policy, etc.) 2. Professional experience in data science and economics in a legal context 3. Professional experience in legal, economic, or policy setting 4. Experience using Presto and Hive to query and Python and R to analyze data at scale For San Francisco, CA-based roles: The base salary range for this role is USD$155,000 per year - USD$172,000 per year. You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link [https://www.uber.com/careers/benefits](https://www.uber.com/careers/benefits). Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuels progress. What moves us, moves the world - let's move it forward, together. Uber is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.