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As our first Data Science hire focusing on Machine Learning at Circle, you’ll start by focusing on two critical problems: helping identify transactions and actors who might be acting illicitly and helping us better balance our reserves across a series of accounts to reduce systemic risk inside the company.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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This includes probability analysis, machine learning, storm climatology, database management, civil engineering, and coastal engineering; Current experience and interest in machine learning/artificial intelligence (surrogate or metamodeling) from a coastal, hydrologic, geoscience or natural hazard perspective.
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Working alongside our generalist consultants, Bain's Advanced Analytics Group (AAG) helps clients across industries solve their biggest problems using our expertise in data science, customer insights, statistics, machine learning, data management, supply chain analytics and data engineering.
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Ph. D. in Computational Physics, Applied Physics, Applied Mathematics, Computer Science, Biological Science (e.g. Cell Biology, Biophysics, Bioengineering), or related science or engineering field; OR equivalent combination of degree and experience.
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This individual will apply their skills in machine learning, image processing, computer vision, mathematics, optics, and software engineering to develop algorithms to be integrated into onto’s innovative inspection platforms.
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For this role, the successful candidate will have a substantial background in data and computer science with an emphasis on supporting, developing and implementing IT solutions for lab-based systems as well as utilizing computational methods.
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And we’re pushing the limits in firmware engineering, power electronics, embedded systems, machine learning, and the use of artificial intelligence. The Embedded Systems Engineer II will collaborate with global Engineering and Operations teams to apply a platform use approach to all new designs while gathering and implementing design considerations for use in multiple product categories.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering or related area.
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Master’s Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field.
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What You'll Do Apply fundamental and advanced quantitative methods, including machine learning and statistical modeling, to solve complex business problems and enable data-driven decision-making (e.g., build statistical and machine learning models for trend analysis and forecasting to predict future business outcomes for a Fortune 100 company) Collaborate with client data science teams to enhance, scale, and operationalize existing models.
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Lincoln Electric is the world leader in the engineering, design, and manufacturing of advanced arc welding solutions, automated joining, assembly and cutting systems, plasma and oxy-fuel cutting equipment, and has a leading global position in brazing and soldering alloys.
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We also get to test the designs, which is a lot of fun since our projects include complete vehicle engineering and builds, computer vision & machine learning with applications in AgTech and Industrial Automation, aerospace mechanical and control systems, connected car and vehicle telematics, and large battery systems.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Anoka, Minnesota
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