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Master’s degree in data science, business, sciences statistics, data mining, applied mathematics, business analytics, engineering, computer science or related field (MBA Preferred.
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Technology partner certification (in technology, Big data, business or advanced analytics, data science) - Microsoft, Oracle, Teradata, IBM, EMC, Cloudera, Hortonworks, Informatica, Tableau, SAS, R, Python plexity of Work:Core Competencies: Mathematics, Data Science, Statistics, Modeling, Simulation.
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Data science, machine learning, optimization models, Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch)Doctorate, Masters: Artificial Intelligence.
$117,000 - $234,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Education - Bachelor's degree in Molecular Biology, Biology, Chemistry, Applied Mathematics, Physics, Electrical Engineering, Computational Biology, Biostatistics, Bioinformatics, Computer Science or related discipline; postgraduate degree (Master's, PhD) is highly preferred.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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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.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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The Data Science/Applied Science team supports MCM's growth by supporting the launch of new features through modeling, algorithmic and analytical excellence. Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering.
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Join us to expand your technical career through the lens of work on many novel projects and use cases to expand your proficiency in real-world health care data, statistical analysis, data science and AI skills on healthcare.
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Economics, Statistics, Applied Mathematics, Mathematics, Financial Mathematics, Data Processing/Analytics/Science. Displaying knowledge or familiarity with industry financial instrument pricing tools and data sources e.g. Bloomberg, Refinitiv etc.
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PhD in Statistics, Mathematics, Computer Science, or related discipline, with a focus on neuroimaging, systems biology, or computational neuroscience and experience in neuropsychiatric disorders.
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Ph. D. in Statistics, Applied Mathematics, Biomedical/Chemical Engineering, Computer Science, Physics, Computational Biology, or related field. + Stay informed with emerging literature and science in the modeling and simulation sciences.
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities. + Lead cohort meetings and workshops for data science awardees.
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Masters in Mechanical, Nuclear, Materials Engineering, Structural Mechanics, Materials Science, Applied Mathematics or related field. Support the company's design-for-construction and materials qualification efforts by performing Finite Element Analysis (FEA), analytical assessment and data analysis.
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data science applied mathematics jobs Title: postdoctoral Company: Berkeley Lab
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