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Data science, machine learning, optimization models, PhD 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.
$126,000 - $216,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Master's or foreign equivalent degree in Computer Science, Machine Learning, Data Science, Math, Statistics, Physics, Bioinformatics, Software Engineering, Engineering, or equivalent technical field.
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At 1910 Genetics, we put computation at the heart of drug discovery, blending expertise in computational chemistry, structural biology, pharmacology, genetics, data science, and software engineering to develop drugs for previously undruggable targets.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Requires: Bachelor’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or closely related field plus 5 years of progressive post-baccalaureate experience in job offered or as Hadoop Developer, Commercial Quality Assurance, Graduate Assistant, and Big Data Hadoop Developer.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) developing data applications to support legal, risk, and compliance analytical platforms.
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Option 1: Bachelor's degree in computer science, information technology, engineering, information systems, cybersecurity, or related area and 4years’ experience in software engineering or related area at a technology, retail, or data-driven company.
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Computer Science graduate ideally with specialization in Data Engineering or Machine LearningExperience in Hadoop technologies (Map/Reduce, Oozie, Pig, Hive, Spark, Kafka, HBase, Storm.
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Master Degree in Microbiology, Genomics, Bioinformatics, Computational Biology, Data Analytics, Data Engineering or life science and agricultural related quantitative disciplines. Experience with Google Big Query, AWS databases, Oracle SQL, mySQL, PostgreSQL, and other data technologies.
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PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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The developed tools will ultimately be integrated with TRMC’s highly visible data analytic project supporting multiple DoD ranges called CHEETAS. The successful candidate will work with data science, data engineer, and software development teams to support our customers by demonstrating to DoD range stakeholders the ‘art of the possible’ with CHEETAS and other standard commercial Big Data tools.
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Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Masters degree in Computer Science or Applied Mathematics, with specialization in Data Science and Machine Learning. Work in a multi-disciplinary team that includes experts in Physics, Computer Science, Mathematics, Chemistry, Electronics, and Semiconductor Manufacturing.
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Certification/Specialized Skills: Git, Python/R, SQL; software SDLC and package/library development; shell/bash/command line scripting; big data stack (Spark/Hadoop); applied machine learning; statistical analysis; data visualization and reporting tools; AWS; ability to manipulate, clean, and combine large, complex disparate data sources; ability to read, learn, and evangelize algorithms and statistical methodologies from peer-reviewed literature.
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computer science big data jobs Title: professor assistant in Castle-rock, Colorado
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