3M, a global science company known for innovative solutions, is seeking a Machine Learning/Vision Specialist - Process Data Scientist to join their team in Woodbury, MN. This role represents an exciting opportunity to work at the intersection of data science, machine learning, and manufacturing processes.
The position offers a competitive compensation package ranging from $141,150 to $172,517, along with comprehensive benefits including medical, dental, and vision insurance. As a senior-level role, it requires at least 3 years of experience in machine learning and data science, with a strong emphasis on practical implementation in industrial settings.
The ideal candidate will be responsible for developing and implementing advanced algorithms, integrating diverse data sources, and driving technology adoption from laboratory to manufacturing scale. This role combines cutting-edge machine learning techniques with practical industrial applications, making it perfect for someone who enjoys both theoretical and applied aspects of data science.
Working at 3M means joining a collaborative environment where you'll interact with innovative professionals across the globe. The company's focus on applying science to improve daily lives provides a meaningful context for your work. The Woodbury location offers access to 3M's corporate research facilities and a strong technical community.
Key technical requirements include expertise in Python and C++, experience with machine vision systems, and familiarity with open source development and cloud computing. The role involves up to 10% domestic travel and offers relocation assistance for the right candidate.
This position is ideal for someone who wants to make a significant impact in industrial applications of machine learning while working for a well-established global company. You'll have the opportunity to influence manufacturing processes, drive innovation, and contribute to 3M's continued technological advancement. The combination of competitive compensation, comprehensive benefits, and challenging technical work makes this an attractive opportunity for experienced data scientists looking to advance their careers.