3M UR - R&D Data Science Engineer (Maplewood, MN)* in Maplewood, Minnesota
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.
3M is seeking a Data Science Engineer for Research and Development (R&D) located in Maplewood, Minnesota. Here, you go.
The person hired for the position of Data Science Engineer will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, or computer vision that create new opportunities for 3M. At 3M, our data scientists work with and analyze data for many businesses and markets, including health information, worker safety, digital oral care, the power grid, transportation and more. From IoT to the Cloud, 3M is applying Science to Life.
Note: Applications are reviewed on a rolling basis. It is in a candidate’s best interest to apply early. Most hiring decisions will be made by December 2017.
Primary Responsibilities include but are not limited to the following:
Leverage expertise to develop and lead new technologies, providing growth opportunities in addition to supporting existing 3M products and businesses
File patent applications, publish in top-tier journals, and present at appropriate conferences
Collaborate with research teams in corporate research and business labs on building capabilities and applications that use his/her scientific, mathematical, and computational skills
Analyze, develop algorithms, and deploy solutions based on real-world data
Possess or in the last year of pursuing a Doctoral degree or Post-Doctoral fellow in a Science or Engineering discipline from an accredited university
Minimum of one (1) year of experience working with real world data in an industrial and/or national lab environment
Possess or in the last year of pursuing a Doctoral degree or Post-Doctoral fellow in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics or related discipline from an accredited university
Two-five years of experience in machine learning, deep learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics in industrial and/or national lab environment
Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++ and/or R)
Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns
Strong problem solving skills
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
Demonstrated leadership and networking skills
Self-motivated and self-directed
Excellent communication skills (oral, written and presentation)
Responsibilities of this position may include direct and/or indirect physical or logical access to information, systems, technologies subjected to the regulations/compliance with U.S. Export Control Laws. U.S. Export Control laws and U.S. Government Department of Defense contracts and sub-contracts impose certain restrictions on companies and their ability to share export-controlled and other technology and services with certain "non-U.S. persons" (persons who are not U.S. citizens or nationals, lawful permanent residents of the U.S., refugees, "Temporary Residents" (granted Amnesty or Special Agricultural Worker provisions), or persons granted asylum (but excluding persons in nonimmigrant status such as H-1B, L-1, F-1, etc.) or non-U.S. citizens. To comply with these laws, and in conjunction with the review of candidates for those positions within 3M that may present access to export controlled technical data, 3M must assess employees' U.S. person status, as well as citizenship(s). The questions asked in this application are intended to assess this and will be used for evaluation purposes only. Failure to provide the necessary information in this regard will result in our inability to consider you further for this particular position. The decision whether or not to file or pursue an export license application is at 3M Company's sole election.
Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M or @3MNewsroom.
3M is an equal opportunity employer. 3M will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
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.
Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.
3M is science applied to life.
At 3M, we are in your cell phone. We are in your car. We are at your doctor’s office. You are never more than 10 feet from a 3M product.
3M helps make it possible for many other companies to do what they do.
At 3M, we produce a mind-bending 55,000 products. Our technology expertise started over 100 years ago with ceramics, turning minerals into sandpaper. This expertise has grown to span 46 technology platforms, with thousands of products and applications.
Our scientists are experts at combining our core technologies to invent a surprising range of products. Our people and our products reshape the way we live our lives every day.
From celebrating new ideas to uncovering fresh uses for tried and true products, 3M solves problems for people, for communities and customers around the world.