2 of 2 Big Data Jobs in Coventry

live race events during weekends, this role will require the ability to work a flexible schedule. The Role We are seeking a Motorsports Sportscar Data Analyst to apply data science and modeling techniques to develop and refine race strategy tools, facilitating insightful pre-race planning, split-second identification … Motorsports and GM sponsored motorsports teams to develop and support race strategy tools and provide analytic guidance. Co-develop production race strategy software with data science and IT software development. Work with teammates supporting other racing series to apply analysis techniques and modeling approaches to other series to validate … Motorsports teams compete. #LI-LP2 Additional Job Description What You’ll Need (Required Qualifications) Bachelor’s Degree in Engineering, Physics, Mathematics, Statistics, Computer Science, Data Science, or related field. 5 or more years of experience in a top-level motorsports series including NASCAR, IMSA, F1, IndyCar, WEC, or similar More ❯

production systems. Your role will involve creating custom solutions, integrating AI capabilities into existing software applications, and ensuring reliable performance. You'll collaborate with data scientists, engineers, and domain experts to address real-world challenges across various domains, such as natural language processing, recommendation systems, and computer vision. Main … Missions: Collaborate with data scientists, product managers, and other stakeholders to understand project requirements. Translate theoretical AI algorithms into robust, scalable code. Develop and optimize machine and deep learning models. Test and debug AI software to ensure functionality and reliability. AI deployment in industrial plants. HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES … frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of big data technologies (e.g., Hadoop, Spark). Knowledge of data lifecycle management. Strong problem-solving skills and attention to detail. Ability to work More ❯