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Data science tools/languages: R, R Studio, Python (data preparation and analysis libraries), Databricks, etc. This role involves technical and thought leadership across the spectrum of data capabilities, from data vision and strategy all the way through data science.
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Support data science team in efforts to automate, streamline, and optimize water resilience data collection, analysis, and reporting efforts. Collect data for and support the client with preparing responses to Congressional requests for information pertaining to DoD water resources, water quality, and water resilience.
$51,600 - $106,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Possess a Bachelor’s Degree or higher in International Security or Science field OR at least 8 years relevant experience in the counter terrorism or physical security field in lieu of a Bachelor’s Degree.
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AMDEX.ai The Art of Data Science. A relevant Master's Degree in IT, Computer Science, or Engineering and 7 years of IT cybersecurity experience including direct support for the US Government and 5 years acting as an ISSO, assessor, or compliance analyst.
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A bachelor's degree in a technical discipline (e.g., computer science, data science, engineering, applied mathematics, or closely related field). The CDM dashboard provides its customers situational awareness of risks, based upon data gathered from security tools and sensors, providing hardware and software asset management, vulnerability management, configuration management, and privileged account and identity and access management for multiple Federal Government Agencies.
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The Cyber Data Science Engineer provides support to the customer in the area of Cyber Security. Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics (STEM) or an advanced IA certification (i.e., CISSP or CASP.
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Desired Skills:- Experience and proficiency with the following tools and techniques:•EnCase, FTK, SIFT, X-Ways, Volatility, WireShark, Sleuth Kit/Autopsy, and Snort•EDR Tools: Crowdstrike, Carbon Black, Etc•Carving and extracting information from PCAP data•Non-traditional network traffic: Command and Control•Preserving evidence integrity according to national standards•Designing cyber security systems and environments in a Linux environment•Virtualized environments•Conducting all-source research.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Languages: Familiarity or proficiency in languages commonly used in data science, like Python, R, or Scala. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
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Its 195,000 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.
$96,000 - $200,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Data Science, Software Engineering, Cloud/AWS Infrastructure, and Cyber/CNO are our core areas of expertise. These include complex in-person data engineering and data science tasks with minimal or no access to online reference materials, providing engineering design and implementation of data triage capabilities, and providing technical expertise to support the development of the Sponsor’s overarching data acquisition and exploitation strategy.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Provide imagery science services and analysis in support of GEOINT product quality assessments for the full range of traditional and non-traditional imaging systems, products, and data formats; sensor fidelity assessment, pixel registration assessment, Tonal Transfer Curve assessments, Relative Edge Response assessment, MTF and Signal to Noise Ratio assessment, and other product quality parameters.
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Work with a team of data scientists, engineers, and model validation professionals in designing and releasing new capabilities to advance data science techniques and improve the trust and transparency in the AI modeling lifecycle.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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This role requires proficiency in specific geospatial and statistical software tools (QT Modeler, ArcGIS, QGIS, Matlab), programming in Python, and expertise in fields crucial to geospatial science and analytics (Geodesy, GIS, Photogrammetry, Precision metrics, LiDAR, Understanding of Statistics.
$170,000 - $240,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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3 years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.) 4+ years of experience with the Python data science stack (e.g., numpy, pandas, matplotlib, sklearn, etc.
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data science jobs in Vienna, VA
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