Data Scientist Specialist

Responsibilities

• Apply machine learning and statistical modeling to materials R&D to drive product and process decisions
• Partner with materials scientists, formulators, and process engineers on experimental design, analysis, and interpretation
• Build models using response-surface, Bayesian optimization, and variable selection for abrasive formulations and coatings
• Coach and instruct the R&D team on statistical thinking, Design of Experiments (DoE), and practical machine learning
• Contribute to the development of vision-systems and LLM-enabled R&D tools
• Strengthen measurement-system practices across the lab to improve experimental quality and decision confidence
• Collaborate across 3M’s material and data science communities to implement new methods, tools, and AI capabilities

Requirements

• Bachelor’s degree or higher in a quantitative or engineering discipline (e.g., statistics, math, computer science, physics, or engineering)
• Five years of applied data science experience in R&D, materials, process, or manufacturing environments
• Python fluency with relevant modeling and statistical libraries
• Strong foundation in classical statistics and Design of Experiments (DoE) expertise

Preferred Qualifications

• Master's or PhD in a quantitative or engineering discipline
• Background in materials science, chemical engineering, or related physical sciences
• Experience with surrogate modeling, multi-fidelity methods, Bayesian optimization, or active learning
• Exposure to industrial automation, lab data systems, vision systems, or instrumented test environments
• Familiarity with LLM tooling in R&D contexts

About the Company

3M applies science in collaborative ways to improve lives daily, connecting with customers all around the world to solve global challenges through innovation in materials and technology.