Data Scientist (Senior)

Employer
Calhoun International, LLC
Location
Quantico, VA
Posted
Jun 29, 2022
Closes
Jul 14, 2022
Ref
579936740
Function
IT
Industry
Science
Hours
Full Time
About Us:Calhoun International is a professional services company providing innovative solutions to our clients. Our expertise ranges from strategic intelligence analysis and network modeling, expert instruction on intelligence analysis and sensors, and cyberspace operations to information systems training and services as well as knowledge management. Calhoun International is located in Tampa, FL with employees in Florida, Virginia, Maryland, Washington, DC, Hawaii and Korea. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identification, or national origin.Responsibilities:* Data Scientist will support Defense Intelligence Agency (DIA) Office of Counterintelligence (OCI) requirements.* Conducts data analytics, data engineering, data mining, exploratory analysis, predictiveanalysis, 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 aboutthe 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 automatedlead scoring systems. Performs statistical analysis, applies data mining techniques, and buildshigh quality prediction systems. Should be skilled in data visualization and use of graphicalapplications, 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.* Provides incremental enhancements to tools, capabilities, processes, and methods.* Possesses in-depth knowledge and experience in using data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and scientific techniques to correlate data into graphical, written, visual and verbal narrative products, enabling more informed analytic decisions.* Writes either R or Python scripts to drive data science workflows, have experience using SQL, and managing and merging of disparate data sources, preferably through R, Python, or SQL; statistical analysis; and data mining algorithms.* Possesses prior experience with large data, spatial data, Multi-INT analytics, ML, and automated predictive analytics.* Works with ambiguous information, deconstruct key questions, leverage spatial data, exploit application programming interfaces, suggest methodologies, develop data schemas to structure observations. This requires working knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widelyapplicable procedures to support all-source intelligence analysis and production.* Creates and works in distributed analytic environments, scaling algorithms to work on increasingly large and complex datasets that are larger than RAM.* Serves as the primary POC for data science expertise, ensuring tradecraft compliance and analytic standards as it relates to data science techniques on the contract.* Provides advice on emerging data science methods, tools, algorithms, training, or requirements to advance OCI's use of data science.* When directed, works with vendors and the software developers to implementdistributed algorithms to work on increasingly large and complex data sets.Requirements:* Education: Masters degree's.* Prior experience with large data Multi-INT analytics, ML, and automated predictive analytics.* Possesses a professional or graduate certificate in data science from a university, major online learning platform (all business for Data Scientists at any experience level).* 12+ years of experience and 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. Should have prior experience with large data Multi-INT analytics, ML, and automated predictive analyticsSecurity Clearance:* TS/SCI Clearance required. CI polygraph required

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