Data Scientist

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, D.C., 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.

Serves as a Data Scientist supporting the Defense Counterintelligence and Security Agency (DCSA) Critical Technology Protection (CTP) Entity Vetting (EV) and International-Special Programs (ISP) Divisions. 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.

• 8 years of experience and skilled in the following:
  • Data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau.
  • Major data science languages, such as R and Python.
  • Experience in managing and merging of disparate data sources, preferably through R, Python, or SQL.
  • Statistical analysis
  • Data mining algorithms.
  • Large data multi-INT analytics, ML, and automated predictive analytics.

Desired Requirements:

• Bachelor's degree.

• Active TS/SCI Clearance required.