Data Scientist

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.

• 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 Tensor Flow, PyTorch, Keras or comparable technologies
• Understanding of software development fundamentals:
  Version control (Git)
• Writing clean, modular, testable code
• 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

• machine learning
• data science
• Python
• deep learning
• Tensor Flow
• Py Torch
• Keras
• SQL
• Hadoop
• Spark

• collaboration
• communication
• problem-solving
• innovation
• adaptability
• teamwork
• data visualization
• analytical thinking
• creativity
• leadership

• B.S. in Data Science
• B.S. in Computer Science
• B.S. in Engineering
• B.S. in Chemistry
• B.S. in Physics
• M.S. in Data Science
• M.S. in Data Analytics
• M.S. in Machine Learning