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Data Scientist - Mid

Employer
Global Dimensions
Location
Columbia, MD
Closing date
May 12, 2021

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**Global Dimensions is submitting a proposal to bid for award on this contract. If you are interested in applying for employment upon award, please submit your resume. We will ask qualified candidates to sign a Letter of Interest, which is not a commitment of employment, but states you are interested in future work under this contract.** Provide multi-level CCA team support, by providing technical analysis relating to computer systems, networking and non-standard technical solutions Identifies, monitors, and assesses foreign intelligence efforts attempting collection of sensitive national security information on US persons, activities and interests, including threats posed by emerging technologies to US operations and interests Applies understanding of foreign intelligence capabilities / activities and US and foreign partner CI capabilities and TTPs for in-depth analytic research and production of all-source CI studies and contributes to developing CI strategies Conducts, develops, produces, and presents programs of instruction in specified collection operations TTPs, and related or supporting processes, relevant to the various human intelligence and technical intelligence operations under DoD authorities Conducts data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions Proactively retrieves information from various sources, analyzes it for better understanding about the data set, and builds AI tools that automate certain processes Duties typically include: creating various ML-based tools or processes, such as recommendation engines or automated lead scoring systems. Performs statistical analysis, applies data mining techniques, and builds high quality prediction systems Should be skilled in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau; major data science languages, such as R and Python; managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms The Tech Ops section shall support solutions in sister organizations The Tech Ops section provides all manner of design and construction of tailor-made networks, tradecraft solutions, the support and maintenance of those products, as well as the support and maintenance of operational networks and systems Support CI and CT investigations by providing research, design, and training personnel on internally designed technologies Evaluate emerging forensic technologies and provide operational security assessments Monitor and maintain a misattribution network, utilize technical analysis to maintain the organization's capabilities, establish internal capabilities to support forensic investigations and operations through data repositories to promote transparency and visibility across the organization Conduct technical analysis to validate operational loads Requirements US Citizen Active TS/SCI security clearance Must possess Certified Information Systems Security Professional (CISSP) or Cisco-based Networking Certifications such as Cisco Certified Network Associate (CCNA) or security exploitation certifications such as Certified Ethical Hacker (CEH) or EC-Council Certified Security Analyst (ECSA) DoD Risk Management Framework (RMF) equivalent qualifications are acceptable Must possess a DoD 8570 Information Assurance Technician Level II Certification and 3 years of experience in programing language Programming languages desired, C++, PHP, JavaScript, Java, Python, Perl Graduate of in-residence Fundamentals of Intelligence Analysis course or Military Service equivalent Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analytics High School Diploma: 20 years of relevant experience with at least a portion of the experience within the last 2 years Associates Degree: 16 years of relevant experience with at least a portion of the experience within the last 2 years Bachelors Degree: 14 years of relevant experience with at least a portion of the experience within the last 2 years Masters Degree: 12 years of relevant experience with at least a portion of the experience within the last 2 years

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