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Data Scientist - Machine Learning* (Maplewood, MN)

Company Name: 3M
Location: US, Minnesota, Maplewood
Date Posted: 31st May, 2017
Description:
  • Lead projects in machine learning, data mining, natural language processing, signal processing, sensors and electronics, probabilistic inference, and/or computational statistics
  • Develop and implement relevant and valuable computational algorithms that support 3M businesses
  • Collaborate with a team of chemists, physicists and engineers on both theoretical and practical projects that will use his/her scientific, mathematical and computational skills to drive new-to-the-world technology development and introduction
Qualification:

Basic Qualifications:

  • Master’s degree or higher in a science or engineering discipline from an accredited university 
  • Academic or working combined experience in any of the following: computer vision, machine learning, and/or data science technologies 
     

Preferred Qualifications:

  • MS/PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Mathematics from an accredited university augmented with an undergraduate degree or minor in chemistry, physics, mechanical or chemical engineering.
  • Minimum of one (1) year of computer vision and image processing experience in academia, industry or national lab environment 
  • Expertise in machine learning, data mining, natural language processing, signal processing, sensors and electronics, probabilistic inference, and/or computational statistics, 3D computer vision (acquisition, segmentation, registration, classification), deep learning, analysis and reduction of high-dimensional data from
  • Programming languages: Python, MATLAB, C, C++, OpenCV, R 
  • Strong scientific and technical acumen, with demonstrated interest and ability to make connections between science/technology and real-world concerns
  • Demonstrated scientific excellence as evidenced by publications and presentations
  • Leadership and networking skills
  • Self-motivated and self-directed
  • Excellent written and oral communication skills