Data Scientist

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.

As a Data Scientist, and member of our PPG Digital Organization, you'll be contributing to specific business projects utilizing machine learning, computer vision, advanced statistical analysis, optimization, and data visualization methods to drive product and service development that lie at the intersection of both digital and physical sciences. You will make recommendations on the data and provide insights into seeking rapid solutions through agile teams / sprints.

Location: Pittsburgh, PA - will work a hybrid schedule onsite. Relocation will be provided.

Key Responsibilities

• Devising and applying state-of-the-art machine learning techniques to solve business and scientific problems.
• Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps.
• Visualize data to discover and communicate solutions and opportunities.
• Contribute to the design and development of data science-powered applications and internal platforms.
• Work with modern data ecosystems (cloud platforms, distributed data systems, and real-time pipelines).
• Collaborate with external partners to bring groundbreaking results to PPG operations.
• 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

• B.S. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field
• M.S. degree preferred in Data Science, Data Analytics, Machine Learning or equivalent
• 5+ years of experience applying data science or analytics to real-world problems, 2+ years with a PhD.
• Proficiency in Python
• Experience with state-of-the-art deep learning frameworks such as TensorFlow, PyTorch, Keras or comparable technologies
• Understanding of software development fundamentals:
  • Version control (Git)
  • Writing clean, modular, testable codeo
• Basic API development (e.g., FastAPI, Flask)
• Experience working with both structured and distributed data technologies ranging from SQL to Hadoop, Hive and Spark.
• Experience working in Agile or product-oriented teams
• Experience in delivering results at the intersection of machine learning, computer vision, engineering and material sciences
• Preferred qualifications:
  • Experience or exposure to:
    • Generative AI / Large Language Models (LLMs)
    • Cloud platforms (Azure, AWS, or GCP)
    • Building data or ML applications (dashboards, web apps, or internal tools)
  • Familiarity with MLOps concepts (CI/CD, model deployment, monitoring)

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Cum lucrm: La PPG, reunim echipele pentru a accelera colaborarea i dezvoltarea carierei, cu munc la birou de luni pan joi i posibilitatea de a lucra de la distan in cadrul Flexible Fridays. Programele pot varia in funcie de locaie.

Despre noi:
PPG: PROTEJM I INFRUMUSEM LUMEA
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