PPG Digital Organization is seeking to drive growth and improve productivity for the company at scale in the areas of formulation development (new product development), product quality (manufacturing), and color matching. We are seeking a creative and motivated Data Scientist to join our team to use scientific knowledge and translate to digital solutions.
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, data mining, 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.
Key ResponsibilitiesDevising and applying state of the art algorithms related to deep learning and reinforcement learning.
Evaluate AI/ML readiness and provide data acquisition recommendations to bridge gaps
Visualize data to discover and communicate solutions and opportunities.
Application of advanced statistics on scientific problems.
Producing meaningful and actionable results quickly with teams
Employ Machine learning sub fields such as:
Multivariate data analysis and clustering based models
Classification - discrete events and perceptions (image, voice, and text)
Regression models
Multi-objective optimization
Stay current of trends in applied machine learning, computer vision and advanced statistics.
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.
Ph.D. in Chemical Engineering, Chemistry, Polymer Science or equivalent
Strong proficiency in machine learning, with experience in unstructured/cognitive learning algorithms.
Strong proficiency with Python
Minimum of 5 years of experience using data analysis techniques to solve business related problems regardless of industry. (School internship experience can count)
Experience in delivering results at the intersection of machine learning, computer vision, engineering and material sciences
Experience with Matlab, R and/or other statistical programming languages applying the appropriate statistical procedures to problems.
Experience with state-of-the-art deep learning frameworks such as TensorFlow, PyTorch, Keras or comparable technologies.
Six Sigma methodology experience (Yellow belt and above).
Experience working with both structured and distributed data technologies ranging from SQL to Hadoop, Hive and Spark.
Experience with agile development methodology.
#LI-Hybrid
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.
Top Skills
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
