Job description

PPG Digital Organization is accelerating enterprise-wide transformation by embedding advanced AI, machine learning, and data products across multiple domains, including formulation development (R&D), manufacturing, supply chain, commercial, and customer experience. We are seeking a Senior Data Scientist who is deeply technical, hands-on, and passionate about building high-quality machine learning models and production-ready solutions, to lead the delivery of high-impact AI/ML initiatives across the enterprise. You will work at the intersection of data science, applied AI, and software engineering, delivering solutions that are both scientifically rigorous and production-ready. Key Responsibilities Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques (including Generative AI, LLMs and Multimodal AI) to solve business and scientific problems. Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps. Build production-grade machine learning solutions, not just prototypes. Own the development of end-to-end AI/ML projects, including deployment into production environments, and monitoring for continuous improvement. Design, develop, and maintain software components of internal data science platforms, enabling chemists, engineers, and business users to leverage AI/ML models through intuitive tools, APIs, and applications. Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines). Communicate findings, assumptions, and model performance to both technical and non-technical stakeholders. Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact. Stay current on emerging technologies in AI/ML, software engineering, and applied data science. Qualifications Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field. 5 years of experience delivering AI/ML solutions in production environments Strong expertise in: Machine learning and deep learning Statistical modeling and optimization Python and modern ML frameworks Proven experience building scalable, production-grade ML systems Experience working in Agile or product-oriented teams Preferred qualifications: Strong software engineering skills : System design and architecture API development and microservices Code quality, testing, and maintainability Experience in: Generative AI (LLMs, prompt engineering, retrieval-augmented generation) Cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI) Distributed data systems (Spark, Databricks) Experience leading or mentoring teams and driving cross-functional initiatives #LI-PRT1 #LI-Hybrid How we work: At PPG, we bring teams together to accelerate collaboration and career development, with in-person work Monday through Thursday and the opportunity to work remotely on Flexible Fridays. Schedules may vary by location. About us: PPG: WE PROTECT AND BEAUTIFY THE WORLD™ Through leadership in innovation, sustainability and color, PPG helps customers in industrial, transportation, consumer products, and construction markets and aftermarkets to enhance more surfaces in more ways than does any other company. To learn more, visit www.ppg.com and follow PPG on X. The PPG Way 2030 We are customer champions Proactive. Bold. Trustworthy. Everything we do starts with our customers. We listen, move fast and don’t stop until we solve their biggest challenges. When our customers win, we all grow. We act with purpose and speed Agile. Data-driven. Empowered. We take smart risks to stay ahead of the competition. We work proactively with agility, using quality data to develop solutions that create value. We are excellent operators Productive. Collaborative. Accountable. No matter our role, we identify problems, take ownership and always bring solutions. We are both proactive and responsive to drive continuous improvement and deliver results. We support our frontline, the faces of PPG to our customers. We compete to win Future-focused. Driven. Ambitious. We are passionate about growing our business and winning with our customers. We deliver results, embrace new technologies and leverage agility and speed as strengths. We are PPG proud Strong. United. Passionate. We work safely, act with integrity and value our diverse perspectives. We celebrate achievements and take pride in the positive impact we create together to protect and beautify the world. At PPG we use AI in the hiring process to make the process more efficient. AI tools do not make hiring decisions. You can learn more by going to careers.ppg.com . PPG provides equal opportunity to all candidates and employees. We offer an opportunity to grow and develop your career in an environment that provides a fulfilling workplace for employees, creates an environment for continuous learning, and embraces the ideas and diversity of others. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, color, creed, religion, national origin, age, disability status, marital status, veteran status, sexual orientation, gender identity or expression. If you need an adjustment due to a disability, please email recruiting ppg.com. PPG pay ranges and benefits can vary by location which allows us to compensate employees competitively in different geographic markets. PPG considers several factors in making compensation decisions including, but not limited to, skill sets, experience and training, qualifications and education, licensure and certifications, and other organizational needs. Other incentives may apply. Our employee benefits programs are designed to support the health and well-being of our employees. Any insurance coverages and benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents. Benefits will be discussed with you by your recruiter during the hiring process. PPG values your feedback on our recruiting process. We encourage you to visit Glassdoor.com and provide feedback on the process , so that we can do better today than yesterday.

Requirements

Must-haves

Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques (including Generative AI, LLMs and Multimodal AI) to solve business and scientific problems.
Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps. Build production-grade machine learning solutions, not just prototypes.
Own the development of end-to-end AI/ML projects, including deployment into production environments, and monitoring for continuous improvement.
Design, develop, and maintain software components of internal data science platforms, enabling chemists, engineers, and business users to leverage AI/ML models through intuitive tools, APIs, and applications.
Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines).
Communicate findings, assumptions, and model performance to both technical and non-technical stakeholders.
Work with global teams to translate innovative ideas into deployable digital products and services with quantifiable business impact.
Stay current on emerging technologies in AI/ML, software engineering, and applied data science.
Ph.D. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field.
5 years of experience delivering AI/ML solutions in production environments
Strong expertise in: Machine learning and deep learning
Statistical modeling and optimization
Python and modern ML frameworks
Proven experience building scalable, production-grade ML systems
Experience working in Agile or product-oriented teams
API development and microservices
Code quality, testing, and maintainability
Experience in: Generative AI (LLMs, prompt engineering, retrieval-augmented generation)
Cloud-native AI platforms (Azure ML, AWS SageMaker, GCP Vertex AI)
Distributed data systems (Spark, Databricks)
Experience leading or mentoring teams and driving cross-functional initiatives
The PPG Way 2030
We are customer champions

Nice-to-haves

Preferred qualifications: Strong software engineering skills : System design and architecture

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlpythonagileapiazureawsgcp

Platform: workday
Effort: long