Data Scientist

Posted Yesterday
29 Locations
In-Office or Remote
Junior
Other
The Role
Apply machine learning, computer vision, and advanced analytics to business and scientific problems. Build and visualize data-driven solutions, design data science applications, work with cloud and distributed data ecosystems, collaborate across global teams and partners, and deliver deployable ML products in agile teams.
Summary Generated by Built In

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
  • 1+ years of experience applying data science or analytics to real-world problems
  • 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)

#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  https://careers.ppg.com/us/en/candidate-resources.  

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 [email protected]

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.
 

Skills Required

  • B.S. in Data Science, Computer Science, Engineering, Chemistry, Physics, or related field
  • M.S. in Data Science, Data Analytics, Machine Learning or equivalent
  • 1+ years applying data science or analytics to real-world problems
  • Proficiency in Python
  • Experience with deep learning frameworks (TensorFlow, PyTorch, Keras or comparable)
  • Understanding of software development fundamentals (version control Git; clean, modular, testable code)
  • Basic API development experience (FastAPI, Flask)
  • Experience with structured and distributed data technologies (SQL, Hadoop, Hive, Spark)
  • Experience working in Agile or product-oriented teams
  • Experience delivering results at the intersection of machine learning, computer vision, engineering and material sciences
  • Experience or exposure to Generative AI / Large Language Models (LLMs)
  • Experience with cloud platforms (Azure, AWS, or GCP)
  • Experience building data or ML applications (dashboards, web apps, internal tools)
  • Familiarity with MLOps concepts (CI/CD, model deployment, monitoring)

PPG Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about PPG and has not been reviewed or approved by PPG.

  • Retirement Support 401(k) matching, a Retirement Savings Plan, and mentions of pension structures are part of the package. Feedback suggests these programs strengthen long-term financial security and add meaningful value to total compensation.
  • Leave & Time Off Breadth Paid holidays, sick days, vacation, and volunteer time off are provided alongside parental leave and adoption assistance. Feedback suggests the breadth of leave options supports work-life needs across different life stages.
  • Flexible Benefits A wide menu includes medical/dental/vision, FSAs/HSAs with company seed contributions for HDHP enrollees, an EAP, and numerous voluntary options such as accident, critical illness, hospital indemnity, legal, and pet insurance. Feedback suggests the variety and optionality help employees tailor coverage to their circumstances.

PPG Insights

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The Company
HQ: Pittsburgh, PA
24,987 Employees
Year Founded: 1883

What We Do

PPG: We protect and beautify the world.® At PPG (NYSE:PPG), we work every day to develop and deliver the paints, coatings and specialty materials that our customers have trusted for more than 140 years. Through dedication and creativity, we solve our customers’ biggest challenges, collaborating closely to find the right path forward. With headquarters in Pittsburgh, we operate and innovate in more than 70 countries and reported net sales of $18.2 billion in 2023. We serve customers in construction, consumer products, industrial and transportation markets and aftermarkets. To learn more, visit www.ppg.com and follow @PPG on X and @PPGIndustries on Facebook, Instagram and Threads

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