We are looking for a Sr. Industrial Engineer / Data Engineer (5+ yrs. of experience) that will be focusing on providing automations and data solutions to Industrial and Manufacturing Engineering teams. This position involves designing and creating Data Models, developing Analytics and Reporting solutions. They will be focusing on developing superior and strong internal resources to completely own the data inputs to our future simulation and analytical models. In this role, you will focus on enhancing the methodology for predicting future state machine behavior by leveraging data from existing Tesla manufacturing lines, while developing robust techniques to accurately attribute this data to future line models. You will conduct in-depth analyses of yield data at various levels of granularity-such as station and process levels-and devise methods to precisely apply these insights to future line models. Additionally, you will be responsible for developing and maintaining software tools to improve visibility and usability for the broader Tesla team, ensuring seamless integration and utility across projects. * Analyze and maintain yield, availability, and cycle time data to identify trends, inefficiencies, and opportunities for optimization * Develop Model inputs and build Software as necessary to make this available to larger Tesla Team * Collaborate with various Tesla teams to Build automated data pipelines to collect, process, and analyze real-time yield, availability, and cycle time data from various sources (IoT sensors, MES, PLCs, SCADA systems) * Use statistical process control (SPC), regression analysis, and time-series forecasting to enhance manufacturing efficiency * Create interactive dashboards and visualizations in Power BI, Tableau, or Python-based tools for easy monitoring of performance trends * Own and manage projects from design to production, maintain relationship with stakeholders and collaborate with both business and technical teams to satisfy business needs * Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues * Reverse engineer existing projects or products in use and always look for improvements in processes preferably with open-source technologies * Degree in Data Science, Industrial Engineering, or equivalent experience * 5+ years of experience in data analysis and modeling within manufacturing environments * Strong proficiency in Python, SQL, R for data analysis, visualization, and modeling * Experience with time-series analysis, statistical process control (SPC), and predictive analytics * Good first principles understanding of Industrial Engineering, OEE concepts * Excellent problem-solving skills with the ability to work in a fast-paced manufacturing environment * Excellent communication & collaboration skills with ability to drive data related initiatives with various internal and external stakeholders * Deep understanding and experience in Discrete Event Simulation modeling, coupled with expertise in predictive modeling using ML algorithms and digital twin technology for process simulation and improvement