PPG Digital Organization is seeking to drive growth and improve productivity for the company at scale in the areas of formulation development, product quality, and color matching
Requirements
- Strong proficiency in machine learning, with experience in unstructured/cognitive learning algorithms
- Strong proficiency with Python
- 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
- Experience working with both structured and distributed data technologies ranging from SQL to Hadoop, Hive and Spark
- Experience with agile development methodology
- Minimum of 5 years of experience using data analysis techniques to solve business related problems
Responsibilities
- Devising 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
Other
- Ph.D. in Chemical Engineering, Chemistry, Polymer Science or equivalent
- Minimum of 5 years of experience using data analysis techniques to solve business related problems
- Six Sigma methodology experience (Yellow belt and above)
- 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
