**About the Job:** Engineering Security (EngSec) at Uber is tasked with the cyber-defense of Uber’s businesses and assets, and is on a major growth path to deliver the best capabilities for our businesses while advancing the cybersecurity field. We are looking for a Data Scientist, to join the Data Analytics team, to develop processes and techniques for driving operational and business insight from the entire span of cybersecurity programs, operations, and projects. This is a great opportunity to join a fast growing EngSec organization in a growth company focused on big bets, and to make a tremendous impact in driving metrics and data rigor in one of Tech’s most exciting cybersecurity arenas. **What you’ll do:** - Develop an in-depth understanding of Engineering Security's rhythm of business and share strategic insights with senior leadership to influence decision making - Design, develop, and maintain data pipelines and complex queries using Python and SQL to ensure the accuracy and availability of data - Build executive-level dashboards on Tableau to facilitate real-time data-driven decision-making and provide actionable insights - Build and deploy statistical and machine learning models for a range of applications in the Engineering Security space - Develop executive-level communications and presentations, translating complex data analysis into clear, concise, and impactful insights for Uber's senior leadership team. **Basic Qualifications:** - Undergraduate and/or graduate degree in math, statistics, computer science, engineering or other quantitative fields (or equivalent work experience) - 4+ years of experience as a data analyst - Strong proficiency in Python and SQL - Extensive experience with Tableau or similar data visualization tools - Strong understanding of statistical analysis and machine learning techniques, with a proven track record of deploying models - Experience with ML Ops frameworks such as MLflow, Google Vertex AI, or similar. - Exposure to cloud technologies such as AWS, GCP, or Azure. **Preferred Qualifications:** - Experience implementing LLMs or similar models into data analysis use cases - Knowledge of additional programming languages such as R or Java 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).