Senior Data Scientist

Company: PPG

Location: Pittsburgh, PA (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-11-04

About this role

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.
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