Spencer Schaber

Spencer Schaber is a seasoned chemical engineer and data scientist currently serving as the Americas Process Modeling & Simulation Leader at Cargill. He holds a PhD in Chemical Engineering from the Massachusetts Institute of Technology (MIT) and has over a decade of experience in the industry, specializing in data-driven decision-making and process optimization.

Education and Career Background

• Education: Schaber earned his PhD and MSCEP in Chemical Engineering from MIT, and a Bachelor of Chemical Engineering (B.ChE) from the University of Minnesota-Twin Cities.

• Career at Cargill: He has held various roles at Cargill, including:

  • Lead Data Scientist (June 2019 - August 2020)
  • Senior Data Scientist (August 2018 - June 2019)
  • Senior Research Engineer (August 2016 - August 2018)

In his current role, he focuses on transforming complex data into actionable insights, leading initiatives that drive innovation at the intersection of engineering and business strategy. His work has resulted in significant cost savings and improvements in process efficiency across diverse industries.1

Expertise and Interests

Schaber's expertise includes:

• Advanced process modeling and simulation
• Predictive analytics and data-driven decision-making
• Cross-functional leadership and strategic project management

He is particularly interested in identifying high-impact opportunities for growth and developing sustainable solutions to complex challenges in the agricultural and food sectors. Outside of work, he enjoys biking, hiking, and engaging with people from various backgrounds.1