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 ❯
the team as you will be involved in developing and re-architecting legacy systems using cutting-edge technologies and driving the business into the BigData era. Job responsibilities Executes standard software solutions, design, development, and technical troubleshooting Writes secure and high-quality code using the syntax of … by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyses, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills More ❯
options and selecting products aligned to business and technical architectures. Core Area of Expertise: Expertise across cloud-native architecture, Omni-channel system of engagement, bigdata architecture, advanced analytics & visualization, legacy modernization. Knowledge of the drivers and decision points for organizations to decide on the most appropriate digital More ❯
by automation Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development Learns and applies system processes, methodologies, and skills … software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Knowledge in BigData development and software design Understanding of Risk Management and Credit Risk About the Team J.P. Morgan is a global leader in financial More ❯
