Senior Data Scientist

Pittsburgh, Pennsylvania, United States of America

Open 4 months, first seen by us 131 days ago

Pay: Pay not listedSimilar roles state $118K–$193K
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

Apply machine learning, deep learning and generative AI to business and scientific problems
Own end-to-end AI/ML projects, including production deployment and monitoring
Design and maintain software for internal data science platforms, tools and APIs
Assess AI/ML readiness and recommend data acquisition to close gaps
Communicate findings and model performance to technical and non-technical stakeholders

From the employer’s posting

Devising and applying state-of-the-art machine learning, deep learning, and modern AI techniques

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

Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps.

Communicate findings, assumptions, and model performance to both technical and non-technical stakeholders.

What you’ll bring

All qualifications

Core experience

5+ years of experience delivering AI/ML solutions in production environments
Python and modern ML frameworks
Experience in:- Generative AI (LLMs, prompt engineering, retrieval-augmented generation)
Strong expertise in:- Machine learning and deep learning
Proven experience building scalable, production-grade ML systems
Experience leading or mentoring teams and driving cross-functional initiatives

Qualification wording

5+ years of experience delivering AI/ML solutions in production environments

Python and modern ML frameworks

Experience in:- Generative AI (LLMs, prompt engineering, retrieval-augmented generation)

Strong expertise in:- Machine learning and deep learning

Proven experience building scalable, production-grade ML systems

Experience leading or mentoring teams and driving cross-functional initiatives

Education & alternatives

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

About PPG

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.

In the employer’s words · Read in context

Apply at PPG

Posting record

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Open 4 monthsWe first saw this posting 131 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jun 26, 2026131 days ago
Recorded sightings: 272
Last seen by us: Nov 4, 2026
Reposted: once since Apr 16, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Pay

$118K–$193K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 3,721 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 131

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 10,010 similar postings that came down. Coming down is not always a hire.

PPG is hiring

12 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
8% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
AWS
Azure
Databricks
GCP
SageMaker
Spark

Where the posting names them

- Statistical modeling and optimization - Python and modern ML frameworks - Proven experience building scalable, production-grade ML systems

- 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)

- 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

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Your next step

Complete your application on ppg.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Has PPG posted this job before?

Yes. We’ve followed one other Senior Data Scientist job there since April 2026. It came down after 46 days.

PittsburghCame down after 46 days, first seen Apr 16
This jobUp 131 days so far, first seen Jun 26

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025: $120,230
Expected change, 2025 to 2035: 34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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™

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 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.

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