Data Scientist Specialist

3M•Maplewood, MN

1d•Onsite

About The Position

Data Science Specialist Collaborate with Innovative 3Mers Around the World Choosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a wide variety of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers. This position provides an opportunity to transition from other private, public, government or military experience to a 3M career The Impact You’ll Make in this Role As a Data Science Specialist embedded in 3M's Abrasive Systems Division (ASD) R&D lab, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. You will partner with materials scientists, formulators, and process engineers on the experimental work that drives our product pipeline - working hands-on with designed experiments, response-surface and Bayesian optimization modeling, variable selection, accelerated aging, and measurement-system analysis applied to real abrasive formulations, coatings, and robotic processes. You will be the only data scientist in the division, with a peer network of data scientists in adjacent 3M labs and close partnership with the ASD Director of Systems and AI. Here, you will make an impact by: Applying ML and statistical modeling to materials R&D - partnering with scientists on DOE design, analysis, and interpretation; building models that drive real product and process decisions; and contributing to the ML side of vision-systems and LLM-enabled R&D tools. Coaching and instructing the R&D team on statistical thinking, design of experiment, measurement-system practice, and practical ML in the flow of abrasives development work. Partnering on division strategy – shaping division level data science direction and helping set the technical roadmap as your scope and credibility grow. Strengthening measurement system practice across the lab to improve experimental quality and decision confidence. Collaborating across 3M’s material and data science communities to bring in relevant methods, tools, and cloud/AI capabilities

Requirements

Bachelor’s degree or higher (completed and verified prior to start) in a quantitative or engineering discipline (statistics, applied math, computer science, data science, physics, or engineering)
Five (5) year(s) of applied data science experience in R&D, materials, process, or manufacturing environments in a private, public, government or military environment
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Nice To Haves

Master's or PhD degree in a quantitative or engineering discipline from an accredited institution, or equivalent depth
Background in materials science, chemical engineering, or related physical science
Experience with surrogate modeling, multi-fidelity methods, Bayesian optimization, or active learning
Demonstrated track record of partnering with researchers on experiments and models that changed decisions
Python fluency with the relevant modeling and statistical libraries
Strong foundation in classical statistics and Design of Experiments (DoE)
Exposure to industrial automation, lab data systems, vision systems, or instrumented test environments
Familiarity with LLM tooling in R&D contexts

Responsibilities

Applying ML and statistical modeling to materials R&D - partnering with scientists on DOE design, analysis, and interpretation; building models that drive real product and process decisions; and contributing to the ML side of vision-systems and LLM-enabled R&D tools.
Coaching and instructing the R&D team on statistical thinking, design of experiment, measurement-system practice, and practical ML in the flow of abrasives development work.
Partnering on division strategy – shaping division level data science direction and helping set the technical roadmap as your scope and credibility grow.
Strengthening measurement system practice across the lab to improve experimental quality and decision confidence.
Collaborating across 3M’s material and data science communities to bring in relevant methods, tools, and cloud/AI capabilities
Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement.