Projects in the digital science and engineering space may involve: optimizing algorithms for computational efficiency, speed, and usability; building capabilities with software tools e.g., Microsoft Azure ML and/or AWS ML, Python; implementing complex data engineering processes to support innovative data science solutions; leveraging key ML or AI solutions toward materials and engineering problems; developing innovative models and simulations of complex chemical and physical processes. Additional qualifications that could help you succeed even further in this role include: Currently pursuing a PhD degree in fields such as Chemical Engineering, Mechanical Engineering, Materials Science, Computer Science, Computer Engineering, Electrical Engineering, Data Science, Software Engineering, Chemistry, Polymer Science, Biomolecular Engineering, or related disciplines from an accredited institution.