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For positions at GS-3 (or equivalent): Successful completion of l year of post-secondary study that included at least 6 semester hours in any combination of courses such as engineering, engineering or industrial technology, construction, physics, drafting, surveying, physical science, or mathematics.
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Specialized Experience (for positions at GS-4 or equivalent and above): Examples of qualifying specialized experience include technical work in: drafting, surveying construction estimating, physical science, mathematics, aerospace, architecture, chemicals, electrical or mechanical systems, mining, petroleum, or nuclear systems.
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Requires a Bachelors in Metallurgical Engineering, Materials Engineering, or Materials Science and Engineering. Perform hands-on experimental and analytical projects in metallurgy/materials science involving failure analysis, applied materials characterization, and materials development/optimization.
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An advanced degree (master’s or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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Experience in Data science, machine learning, or optimization models Experience in Python, Spark, Scala, or R, using open source frameworks (for example: scikit learn, TensorFlow, Pytorch) You are knowledgeable of databases, data warehouse design, cloud storage, and ETL best practices.
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This role will lead a team of data engineers, data scientists, epidemiologists, and statisticians and combine enterprise data management, data engineering, and data science to enable comprehensive insight into community health, real-time health monitoring, and the impact of health interventions by leveraging public health, health care, social service, census, and other related data from internal and external sources.
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Masters degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Degree in Materials Science and Engineering, Physics, Chemistry, Polymer Science, Mechanical Engineering or Electrical Engineering. The Materials and Process Engineering Department, which functions within Mechanical Engineering, is looking for a Materials Engineer to join our team in Lowell, MA in the Advanced Materials Section, working at the Raytheon-UMass Lowell Research Institute (RURI.
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3+ years of experience in managing and mentoring data science, data engineering, and analytics teams in a technology company. 7+ years of experience in data science, algorithmic engineering, or machine learning.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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We are seeking a Data Science Associate to join the Fidelity Digital Asset Management business and report directly to the VP, Data Science. Bachelor or Masters degree in a quantitative discipline (e.g. engineering or computer science.
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Bachelor's degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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Degree in Data Science, Computer Science, Engineering, or a related field, with a specialization in Artificial Intelligence, Machine Learning, and Analytics. Minimum years’ experience working in the Data Analytics field with preference for experience in Financial Services- Experience with analytical/statistical/ML programming, particularly within Python, R preferred Strong data storytelling skills (written and oral.
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Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation, recommenders and media campaign performance.
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7 years of related experience with a Masters' degree in Electrical Engineering, Computer Engineering, Mechanical Engineering, Aerospace Engineering, Computer Science, Physics, Mathematics, or other related degree.
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data science engineering jobs Title: engineering manufacturing engineer
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