3M Has Job Openings for Data Scientists

3M is seeking Data Scientists with specialization in Machine Learning, Deep Learning, Computer Vision, and/or Algorithm Engineering for our Research and Development (R&D) laboratories located in Maplewood, Minnesota. At 3M, you can apply your talent in bold ways that matter. Here, you go.

Job Summary: At 3M, Science Applied to Life isn’t just a slogan – it’s what our data scientists do every day. Our data scientists help improve lives of people with respiratory issues, enable autonomous transportation, keep workers and soldiers safe, and advance health information systems. Our broad market presence and global reach enables your work to have significant impact. 3M is headquartered in the beautiful Twin Cities of Minnesota, known nationwide for their outdoor recreation opportunities, thriving arts, professional sports, and high quality of life.

The person hired for the position of Data Scientist will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, and/or computer vision that create new opportunities for 3M and will develop digital products and solutions or digital manufacturing solutions, capitalizing on 3M’s unique materials, advanced technologies, and global reach. At 3M, our data scientists analyze data, create algorithms, and develop real-world solutions for many businesses and markets, including health information, worker safety, digital oral care, power grid, transportation, novel inspection and measurement processes for manufacturing, and many more.

Primary Responsibilities include but are not limited to the following:

• Leverage expertise to develop and lead new data analytics technologies for product development or for manufacturing systems, providing new growth opportunities in addition to supporting existing 3M products and businesses

• Work with global teams to implement impactful solutions in 3M’s diverse markets

• File patent applications, publish, and present at appropriate conferences

• Collaborate with research teams in corporate research and in business labs to build capabilities and applications to solve emerging challenges

• Analyze data, develop algorithms, and deploy solutions based on real-world data

Basic Qualifications:

• Possess or in the final year of pursuing a M.S. or Ph.D. degree, or a Post-Doctoral fellow, in a science or engineering discipline from an accredited university

Preferred Qualifications:

• Possess or in the final year of pursuing a M.S. or Ph.D. degree or post-doctoral fellowship in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics, or related discipline from an accredited university

• Training and/or experience in deep learning, machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics through thesis work, internships, or industry or national lab employment

• Fluent in one or more programming languages (e.g. Python, MATLAPyB, C, C++, Java, and/or R)

• Experienced with Azure and AWS cloud services and data analytics tools

• Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns

• Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available

• Demonstrated scientific excellence as evidenced by publications and presentations • Self-motivated and self-directed

• Strong problem-solving skills

• Excellent communication skills (oral, written, and presentation)

Register here to express your interest: http://go.3M.com/RR2018

About 3M: At 3M, we apply science in collaborative ways to improve lives daily. With $30 billion in sales, our 90,000 employees connect with customers all around the world. 3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.