Please join us for a “day in the life” type of discussion which will speak to additional skills you may not find in a textbook.
- What challenges do you face that you didn’t expect?
- What do the best data scientists do that others don’t?
- What does a typical project look like? Who do you work with?
- What differentiates a successful project from a failed one?
Alix Schmidt is a senior data scientist in Dow Chemical's Core R&D Information Research team in Midland, Mich. Schmidt received her B.S. in Chemical Engineering from University of Illinois Urbana-Champaign in 2009 and then joined Dow Corning as a process research engineer, where she supported process research and manufacturing troubleshooting for silicone copolymer processes. In 2012, Schmidt joined the fledgling High Throughput Research team and helped introduce robotic research platforms and combinatorial experimental design to Dow Corning R&D. During this time she completed a Master’s degree in Data Science from Northwestern University.
After Dow Corning’s merger into Dow, Schmidt moved to the Manufacturing Chemometrics and AI team, using machine learning and multivariate statistics to troubleshoot plant operations across Dow’s businesses. In 2021, she returned to R&D and now conducts research on materials informatics and leads Machine Learning Operations Strategy for the successful deployment of AI into Dow's research, product design and technical customer service organizations.
