Summary
Mark Malter is a senior leader in applied machine learning with 11 years of experience translating complex business problems—particularly in supply chain, distribution center analytics, and customer/product recommendation systems—into production-ready ML solutions. He combines deep statistical rigor (probability theory, regression, classification, clustering, time series) with hands-on coding in R and Python, and a track record of building and mentoring high-performing data science teams. At Grainger he has driven recommender/search engines, pricing and A/B testing initiatives, and operational forecasting while integrating big-data platforms and visualization to deliver measurable ROI. His background in trading and market making gives him a practical edge in risk-aware modeling and fast decision-making under uncertainty. A former boot-camp instructor, he also translates technical concepts for non-technical stakeholders, making him effective at aligning analytics with business strategy.
11 years of coding experience
16 years of employment as a software developer
Master’s Degree, Predictive Analytics, Master’s Degree, Predictive Analytics at Northwestern University
MBA- Finance, Business Finance, MBA- Finance, Business Finance at Northern Illinois University
BS Electrical Engineering, Electrical Engineering/Computer Science, BS Electrical Engineering, Electrical Engineering/Computer Science at University of Illinois