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Bachelors degree required preferably in related field of study such as actuarial science, math/applied math, statistics/applied statistics, economics. Strong technical aptitude, such as programming experience with Python, R, SAS, or SQL required.
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The courses taught by the Math Department include Pre-Algebra, Algebra, Geometry, Algebra II, Discrete Math, Statistics, Pre-Calculus, and Calculus. The Math Department is responsible for the math education of students in grades 6 - 12.
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Basic experience in computational finance, econometrics, statistics, and math. Basic experience in computational finance, econometrics, statistics, and math. Familiarity with spreadsheets (VBA) and database applications (Access, Oracle, SQL, or equivalent technology.
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Master's degree (or PhD preferred) in a relevant field (Statistics, Applied Math, Engineering, Physics, Computer Science) with a focus on machine learning method. Broad expertise in machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and data engineering tools (Spark, Hadoop) for large-scale medical imaging data processing.
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MS in a STEM field or equivalent experience, with training in biomedicine, stats, bioinformatics, computational biology, data science, physics or math. You should have a background in life science, genomics and/or medicine with experience in data analytics, programming (Python) and some statistics/machine learning.
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Bachelor's degree in Math, Science, Engineering, Statistics, Engineering Management or a related discipline from an accredited college or university is required. Ensure test readiness, including training of test event participants, equipment readiness, and security, legal, and privacy compliance arrangements.
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Bachelor’s degree in data science, statistics, math, computer science, economics, actuarial science or related field. Expertise in one or more development or statistical analysis tool such as R, Python, SAS, SQL, SPSS, or other tools.
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Bachelor's degree in Math, Science, Engineering, Statistics, Engineering Management, or related discipline from an accredited college or university is required. Ensure test readiness including training of test event participants re conduct of the event; equipment readiness, and security, legal, and privacy compliance arrangements.
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Top Secret/SCI Clearance with a Full Scope Polygraph is required. Hands-on experience performing development, system, integration, and regression testing on user-interface based systems. Bright Vision Technologies has an immediate opportunity for Test Engineer at Annapolis Junction, MD.
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Barrington James is seeking a highly skilled individual with medical imaging expertise to join one of our key clients based in Florida as a Principal Data Scientist/Machine Learning Engineer, who are a global leader in medical device innovation.
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Requirements/Qualifications:Masters/PhD in Computer Engineering, Electrical Engineering, Computer Science, Math, Statistics or PhysicsAt least 15 years’ relevant research and/or work experience in programmable architectures, applications implementation, or other relevant experiencePractical coding experience in Verilog, Python, or C/C.
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Ph. D. in Computer Science, Machine Learning, Statistics, Operations Research or related field; or - Ph. D. in Math, Engineering, Economics, or hard science with data science fellowship; or - M.S. in related field with 5+ years of experience applying machine learning engineering to real-world business.
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Bachelor's degree in math, statistics, actuarial science, economics or related. Understand business problems and apply statistics, data science, and predictive modeling to develop advanced solutions like GLMs, Machine Learning, and Clustering across a variety of big data, other database platforms (Teradata, SQL databases), and cloud platforms like AWS.
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PhD in a relevant discipline such as: computer science, math, computer engineering, statistics, cognitive science, electrical engineering, bioengineering, data science, etc. or any other compiler based language(s), calculus, basic statistics (hypothesis testing, distributions, regression, etc), data visualization, etc.
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Education : Bachelor’s degree in Math, Statistics, Accounting, Finance, Information Systems, Business, Computer Science, or related technology field. Provide end-user support for RealPage platform questions and needs.
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