Strategic Process Excellence Data Scientist

Who will you be working with? The Strategic Process Excellence Data Scientist will support Quality activities by leveraging advanced analytics and Artificial Intelligence (AI) techniques to identify improvement opportunities across engineering processes and product performance. How will you make a difference? This role works closely with engineers, quality teams, and cross-functional partners to analyze data, drive root cause identification, and improve control point effectiveness. The role enables data-driven and AI-enabled decision-making to enhance reliability, quality, and operational performance. What do we want to know about you? Bachelor’s degree in Engineering, Data Analytics, Computer Science, or related field Strong analytical and problem-solving skills Experience with engineering or quality data Proficiency in Microsoft Excel and data analysis tools Experience with ERP systems (preferably Oracle) Basic knowledge of AI/ML concepts and statistical modeling Programming experience (Python, R, or similar preferred) Strong communication skills Ability to work with cross-functional and global teams Understanding of engineering or industrial processes Desired Characteristics: Experience with data visualization tools (e.g., Power BI) Practical experience applying AI/ML models in industrial or quality environments Knowledge of predictive analytics and anomaly detection techniques Familiarity with CAR, CoPQ, and reliability metrics Experience in manufacturing, supply chain, or logistics environments Strong attention to detail Ability to manage multiple priorities Continuous improvement mindset Experience integrating AI solutions into business processes What will your typical day look like? Review and analyze CAR, PCR, CoPQ, and reliability data Perform advanced data analysis to identify trends and improvement opportunities Conduct root cause analysis using structured problem-solving methods Analyze control point data and collaborate with cross-functional teams Suppo