Wrocław, Lower Silesian, Poland
Open 6 months, first seen by us 202 days agoLead analytics use cases from problem framing through production
Build and deploy forecasting, optimization and anomaly-detection models in Python and SQL
Turn ERP, supply chain and procurement data into reliable analytical assets
Operationalize analytics products using modern data platforms and MLOps
Present executive-ready insights through storytelling and Power BI dashboards
Lead high-value analytics use cases from problem framing through production
Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL
Transform complex ERP Ecosystem, supply chain, procurement and operations data into reliable, usable analytical assets
Operationalize analytics products using modern data platforms and MLOps best practices
Deliver executive-ready insights through compelling storytelling and Power BI dashboards
7+ years of experience delivering end-to-end data science or advanced analytics solutions.
Strong expertise in Python, SQL, and machine learning/statistical modeling.
Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
Experience translating ambiguous business problems into applicable analytics solutions.
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
Open 6 monthsWe first saw this posting 202 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 202
Up longer than most. Similar jobs usually come down between day 7 and day 55.
Well past PPG’s usual: its jobs come down by about day 23.
From 10,040 similar postings that came down, and 33 of PPG’s. Coming down is not always a hire.
12 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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.
- Lead high-value analytics use cases from problem framing through production through Project Management Office (PMO), with clear business impact. - Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL. - Transform complex ERP Ecosystem, supply chain, procurement and operations data into reliable, usable analytical assets.
- 7+ years of experience delivering end-to-end data science or advanced analytics solutions. - Strong expertise in Python, SQL, and machine learning/statistical modeling. - Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
- Strong expertise in Python, SQL, and machine learning/statistical modeling. - Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric. - Experience translating ambiguous business problems into applicable analytics solutions.
- Operationalize analytics products using modern data platforms and MLOps best practices. - Deliver executive-ready insights through compelling storytelling and Power BI dashboards. - Partner cross-functionally to drive adoption, change, and measurable value realization.
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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.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Are you a data scientist who wants to move beyond models and dashboards—and actually change how the business operates? We are looking for a Senior Data Scientist to lead analytics across procurement and operations center of excellence, turning complex data into decision-ready insights that improve processes, and unlock measurable value. You will work at the intersection of advanced analytics, business strategy, and technology, partnering with global leaders to design, deploy, and scale solutions that matter.
Work model: Hybrid (3 office days, chosen by you)
Location: Curie-Skłodowskiej 12, Wrocław (Nobilis Business House)
Lead high-value analytics use cases from problem framing through production through Project Management Office (PMO), with clear business impact.
Build and deploy predictive and prescriptive models (forecasting, optimization, anomaly detection) using Python and SQL.
Transform complex ERP Ecosystem, supply chain, procurement and operations data into reliable, usable analytical assets.
Operationalize analytics products using modern data platforms and MLOps best practices.
Deliver executive-ready insights through compelling storytelling and Power BI dashboards.
Partner cross-functionally to drive adoption, change, and measurable value realization.
Provide technical leadership and mentorship within a global analytics COE.
7+ years of experience delivering end-to-end data science or advanced analytics solutions.
Strong expertise in Python, SQL, and machine learning/statistical modeling.
Experience with modern analytics platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric.
Experience translating ambiguous business problems into applicable analytics solutions.
Stakeholder management
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 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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Wrocław, Lower Silesian, Poland
Are you a data scientist who wants to move beyond models and dashboards—and actually change how the business operates? We are looking for a Senior Data Scientist to lead analytics across procurement and operations center of excellence, turning complex data into decision-ready insights that improve processes, and unlock measurable value. You will work at the intersection of advanced analytics, business strategy, and technology, partnering with global leaders to design, deploy, and scale solutions that matter. Work model: Hybrid (3 office days, chosen by you) Location: Curie-Skłodowskiej 12, Wrocław (Nobilis Business House)
No clear work-authorization passage found. Eligibility is unconfirmed.