Data Scientist / AI Engineer (hybrid)

Johnson Controls • New Freedom, PA

1d • Hybrid

About The Position

Johnson Controls is hiring a Data Scientist / AI Engineer to support their Centrifugal Chiller Engineering organization. This Engineering Enablement role involves designing, deploying, and sustaining data-driven and AI-enabled tools to improve engineering efficiency, quality, and decision-making. The focus is on practical, applied solutions, transforming engineering data, standards, and workflows into robust, user-friendly tools for engineers. The company seeks someone passionate about using AI and automation to solve real-world engineering problems and streamline daily work. The position is based at the Advanced Engineering and Development Center (ADEC) in New Freedom, PA, with a preference for candidates within commuting distance or willing to relocate. Johnson Controls has been making buildings smarter since 1885, offering a vast portfolio of building products, technologies, software, and services to create safer, more comfortable, more efficient, and more sustainable environments.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, or a related field
• 2–7 years of experience developing data-driven tools, automation, or analytics solutions
• Proficiency in Python or a similar data/automation programming language
• Experience working with structured engineering, test, or quality data

Nice To Haves

• Experience in engineering, manufacturing, or industrial environments
• Familiarity with statistical analysis and foundational machine learning techniques
• Experience building internal tools for non-technical users

Responsibilities

• Design, develop, and maintain data-driven and AI-enabled tools for engineering teams
• Translate complex engineering challenges into scalable, maintainable technical solutions
• Build tools integrated with Excel, SharePoint, Microsoft Teams, and engineering databases
• Prioritize usability, reliability, and adoption by non-software engineers
• Analyze engineering, test, and quality data to identify trends, risks, and improvement opportunities
• Develop statistical, machine learning, or rule-based models based on problem needs
• Enable automated reporting, dashboards, and visualizations
• Apply AI/ML techniques where they deliver clear, measurable engineering value
• Leverage low-code / no-code platforms to accelerate deployment and adoption
• Support responsible AI practices, including traceability, validation, and documentation
• Collaborate with engineering, quality, manufacturing, and IT stakeholders
• Contribute to Kaizen and continuous improvement initiatives
• Own deployed tools throughout their full lifecycle, including enhancements and sustainment

Benefits

• This position includes a competitive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees