3M is seeking a Machine Learning/Vision Specialist - Process Data Scientist to join their innovative team in Woodbury, Minnesota. This role represents an exciting opportunity to work with one of the world's leading science-based technology companies, offering a competitive salary range of $141,150 - $172,517.
The position combines cutting-edge machine learning and computer vision expertise with practical industrial applications. As a specialist, you'll be responsible for developing and implementing advanced algorithms for process development across various high-value products including films, adhesives, and nonwovens. You'll work at the intersection of data science and manufacturing, driving technology adoption from laboratory to production scale.
The role requires a strong background in machine learning, data science, and machine vision, with at least 3 years of experience. You'll be working with diverse data sources, implementing predictive modeling, nonlinear analysis, and machine vision techniques. The position demands expertise in programming languages like Python and C++, along with experience in open source software development, Linux, and cloud computing.
3M offers a comprehensive benefits package including medical, dental, and vision insurance, retirement benefits, and flexible spending accounts. The position is based on-site in Woodbury, MN, with up to 10% domestic travel required. Relocation assistance may be available for the right candidate.
This is an excellent opportunity for someone passionate about applying advanced data science techniques to real-world manufacturing challenges. You'll be part of a collaborative environment, working with some of the most innovative minds in the industry while contributing to 3M's continued technological advancement and market leadership.
The ideal candidate will combine technical expertise with strong interpersonal skills, as you'll be working cross-functionally and helping to transfer technology knowledge throughout 3M's technical community. This role offers significant growth potential and the chance to make a real impact on manufacturing processes and product quality at a global scale.