Machine Learning/Vision Specialist - Process Data Scientist

Job Description:

Machine Learning/Vision Specialist - Process Data Scientist

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 you choose to work at, and its leaders, will support and guide you. With a diversity 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 Machine Learning/Vision Specialist - Process Data Scientist, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

• Integrating diverse data sources into a cohesive analysis framework using industry best practices and documentation.
• Driving advanced model adoption through rigorous understanding of the state-of-the-art data science methodologies.
• Collaborating with the Corporate Research Process Lab to develop and implement advanced algorithms for new process development of films, adhesives, nonwovens, and other high-value articles.
• Designing and integrating advanced data analytics schemes which may include predictive modeling, nonlinear analysis, sensor data integration, and machine vision techniques.
• Driving successful technology scale-up from laboratory to manufacturing and assisting with troubleshooting process and product quality issues.
• Effectively documenting, communicating, and disseminating research results through the framework of 3M's new technology and product introduction programs.
• Providing data science and machine vision expertise to support manufacturing operations and transfer technology to 3M's technical community through consulting and teaching.

Your Skills and Expertise

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor's degree or higher in Chemical Engineering, Mechanical Engineering, Computer Science, Data Science, or Machine Learning/AI (completed and verified prior to start) from an accredited university.

Additional qualifications that could help you succeed even further in this role include:

• A Master's or Ph.D. degree with demonstrated expertise in machine learning, data science, and machine vision.
• Strong understanding of data science techniques and theory, including machine vision. Ability to integrate diverse data sources into a cohesive analysis framework using industry best practices and documentation.
• Over 3 years of experience in machine learning, data science, and machine vision in a private, public, government, or military environment.
• Evidence of strong, hands-on skills with industrial data analysis including experience with data integration, programming, machine learning models, and machine vision systems.
• Experience with a wide range of programming languages including Python and C++.
• Skills relating to the following: machine learning model development, machine vision systems, open source software development, Linux, GitHub, cloud computing.
• Excellent interpersonal skills and the ability to excel in cross-functional environments.

Work location:

• On site in Woodbury, MN

Travel: May include up to 10% domestic

Relocation Assistance: May be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

3M offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

Chat with Max

For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers.

Applicable to US Applicants Only:The expected compensation range for this position is $141,150 - $172,517, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: _careers-working-at-3m/benefits/.

Good Faith Posting Date Range 11/14/2025 To 12/14/2025 Or until filled

All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M.

Learn more about 3M's creative solutions to the world's problems at or on Instagram, Facebook, and LinkedIn @3M.

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.

Pay & Benefits Overview: _careers-working-at-3m/benefits/

3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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