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Experience creating benchmark datasets and Python packages to facilitate data science objectives. Master’s degree in Engineering, Computer Science, or Data Science. Experience conducting research and the implementation of the latest advancements in ML to analyze and process large-scale spatio-temporal data for edge processors.
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Perform interpretive pulse-level and P-Cubed analysis in support of 5th generation weapons systems Intelligence Mission Data (IMD), in-depth radar and weapons systems studies, and cutting-edge modeling and simulation efforts.
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You will collaborate closely with cross-functional teams, including engineering, data science, and customer success, to deliver cutting-edge data integration solutions that will revolutionize how businesses leverage data to drive growth and innovation.
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Data Science, Decision Analytics, Data Mining, Information Sciences, Information Technology, Quantitative Analysis, Operations Research, Operations Analytics, MBAs with Analytical Focus, Engineering, Computer Science, Statistics, Data Management, Decision Science, Quantitative Science, Mathematics, Information Systems, Industrial Engineering, Artificial Intelligence, Computer Vision, Machine Learning, Natural Language Processing.
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What you will be doingThe Software Integration Engineer will initially integrate a commercial data science environment that enables publishing custom packages and executing jobs in a firewalled environment.
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Requirements Required Qualifications/Experience: TS/SCI with CI Poly Masters with 6 – 10 years of prior relevant experience or Ph. D. in a relevant field (e.g., Computer Science, Statistics, Data Science) or BS degree and 12 – 15 years of prior relevant experience.
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As the Project Manager, you will support a team that is delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
$196,225 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Translate complex product requirements into leading-edge data storage solutions using C. A Bachelor of Science degree in Computer Science or Electrical Engineering, a Master’s Degree, or a PhD. Job Segment: Test Engineer, Software Engineer, Testing, Electrical Engineering, Linux, Engineering, Technology.
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The project focuses on conducting cutting-edge research in spatial and temporal data analysis using advanced machine learning technologies. Description :The Department of Computer Science in the College of Arts and Sciences at American University invites applications for a postdoctoral fellow.
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You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics.
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You will be delivering cutting edge data science capabilities to advance national security objectives, swiftly produce and analyze results, disseminate findings, and contribute to publications and presentations with actionable intelligence insights.
$183,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our client is a recognized leader in predictive analytics and data mining - they pride themselves on their ability to find creative, cutting edge solutions to real-word problems. They support the highest priority cases and are on the winning team of a 5 year contract that will deliver data science solutions to address the toughest national security challenges.
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Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity.
$200,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field. Amazon Fulfillment Planning & Execution (FPX) Science team within SCOT- Fulfilment Optimization group is seeking a Senior Applied Scientist with expertise in Machine Learning and a proven record of solving business problems through scalable ML solutions.
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You will serve as a data management strategic advisor to senior government leadership serving the IC Chief Data Officer acting as an interface between cutting-edge technical experts (MITRE and government) pairing mission needs with achievable policy decisions and outcomes.
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