Data Scientist II

**What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- 1. Fraud tracking and mitigation through rule deployments 2. Write efficient and complex code in SQL 3. Experimentation, A/B testing, and statistical modelling 4. Proven ability to handle and visualise large datasets, explore and utilize raw data feeds 5. Liaise with Operations, Product and engineering counterparts to launch and impact new products \-\-\-\- 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. Experience in modern programming languages (Matlab, Python) or statistical languages (SQL, SAS, R) 4. Past experience with a Product / Tech company serving millions of customers on multiple platforms and countries \-\-\-\- Preferred Qualifications ---- 01. SQL Mastery 02. Expert at Python 03. Solid understanding of statistics 04. Experience in Risk in a Product / Tech company 05. Love of data - you just go get the data you need and turn it into an insightful story. 06. A well-organized, structured approach to problem-solving 07. Strong sense of ownership, accountability, and entrepreneurial spirit 08. Great communicator, problem-solver & confident in decision making 09. Independent & autonomous, while still a strong teammate 10. Enthusiastic, self-starting and thrives in changing, agile environment We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. 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. \*Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to [accommodations@uber.com](mailto:accommodations@uber.com).