Strategic Process Excellence Data Scientist

Wabtec•Grove City, PA

3d•Onsite

About The Position

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. 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.

Requirements

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

Nice To Haves

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

Responsibilities

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
Support analysis of field data, part usage, process metrics, and failure rates
Interface with global supplier and engineering teams
Develop and apply AI/ML models to detect patterns, anomalies, and predictive insights
Automate data collection, reporting, and analysis workflows using AI-enabled tools
Leverage natural language processing (NLP) to analyze textual data
Collaborate with IT and digital teams to deploy scalable analytics and AI solutions
Communicate insights and AI-driven recommendations to global stakeholders
Participate in regular performance and status reviews
Support continuous improvement of Wabtec business processes