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Preferred: Master's or PhD in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
$113,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Education : A higher education degree (MSc or PhD level) in fields such as economics, engineering, mathematics, computer science, statistics, applied physics, meteorology, or equivalent.
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Background in algorithm development and implementation, medical image processing, image processing with artificial intelligence, X-ray physics, Computational Photography, and software development.
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Employees in this role use knowledge of machine learning, optimization, statistics, and applied mathematics along with abilities in software engineering with a focus on distributed computing and data storage infrastructure (e.g. “Big Data.
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Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. Data science at the National Security Agency (NSA) is a multi-disciplinary field that uses elements of mathematics, statistics, computer science, and application-specific knowledge to gather, make, and communicate principled conclusions from data.
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The primary purpose of the Associate Data Scientist position is to assist researching and assisting researchers in creating high impact imaging and pathology machine learning algorithms for the Tumor Measurements Initiative (TMI.
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Job Requirements Bachelor’s Degree in Electrical Engineering with power systems as focus, mathematics, applied statistics, computer science or data science, economics or commensurate operational experience.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. Python ecosystem preferred, R will be acceptable, machine learning libraries & frameworks (e.g. TensorFlow, PyTorch, scikit-learn) and familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics as necessary to carry out role effectively. Experience with designing and maintaining data warehouses and/or data lakes with big data technologies such as Spark/Databricks, or distributed databases, like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases.
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Master’s or PhD in Computer Science, Statistics, Applied Mathematics. Experience with cloud computing environments (AWS, Azure, or GCP) and Data/ML platforms (Databricks, Spark). Must be familiar with data processing and visualization tools (e.g., SQL, Tableau, Power BI.
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Bachelor’s degree required; field of study in Applied Mathematics, Mathematics, Business Administration, Accounting, Economics, Finance, Human Resources Management, preferred. Active CPA, FSA, ASA, Enrolled Actuary, SPHR, Member of the Bar, JD, Chartered Financial Analyst, or Certified Equity Professional, preferred.
$76,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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A Masters’ Degree or Ph. D. in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research or related field. Undergraduate degree in a highly analytical discipline (Computer Science /Physics /Mathematics /Econometrics) or equivalent.
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A Ph. D. Degree in Data Science, Data Analytics, Mathematics, Applied Mathematics, Statistics or related fields is required by May 2024. Ph. D. degree in Data Science, Statistics, Mathematics, Applied Mathematics, or related fields.
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