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Machine Learning Vision Specialist - Process Data Scientist

3M


 

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.