We have an immediate need for a Data Scientist to provide onsite support at the Mark Center in Alexandria, VA or the Pentagon.
Responsibilities
The Data Scientist will support the DoW’s Office of Industrial and Investment Security (I2S) in developing risk mitigation options, monitoring compliance of (CFIUS) mitigation agreements, and analyzing outbound investment. The Data Scientist will develop tools and processes to analyze large, complex datasets detailing global financial trends, foreign and domestic acquisitions, and defense supply chain vulnerabilities. Develop and manage automated data streams using Python, R, or SQL to ingest publicly available information (PAI) and commercial economic data required to support the I2S mission. Design and sustain interactive dashboards using Tableau, Power BI, or similar tools to provide DoW leaders with real-time economic threat indicators, case statuses, and risk scores. Collaborate with intelligence analysts and policy advisors to draft operational memos, risk assessments, and executive briefings regarding critical technology protection.
Qualifications
Required
Bachelor's degree in mathematics, computer science, data science, or other STEM disciplines.
4+ years of hands-on experience applying data science techniques such as statistical analysis, mathematical modeling, Data/Database Engineering, Machine Learning, and Visualization.
Programming competency in R, Python, or other languages suitable for managing and analyzing large datasets.
Active TS/SCI clearance.
Able to work fully onsite based on client needs.
Desired
7+ years of hands-on experience with applying data science techniques.
Master’s degree in mathematics, computer science, or other STEM disciplines.
Operational experience in the DoW.
Pay Range Information
At SPA, we strive to deliver a robust total compensation package that will attract and retain top talent. Elements of the compensation package include competitive base pay and variable compensation opportunities. SPA provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, etc. Please note that the salary information shown below is a general guideline only. Salaries are commensurate with experience and qualifications, as well as market and business considerations. Virginia, Pay Transparency Salary range: USD $130,000.00/Yr. - USD $190,000.00/Yr.
The Data Scientist will support the DoW’s Office of Industrial and Investment Security (I2S) in developing risk mitigation options, monitoring compliance of (CFIUS) mitigation agreements, and analyzing outbound investment. The Data Scientist will develop tools and processes to analyze large, complex datasets detailing global financial trends, foreign and domestic acquisitions, and defense supply chain vulnerabilities. Develop and manage automated data streams using Python, R, or SQL to ingest publicly available information (PAI) and commercial economic data required to support the I2S mission. Design and sustain interactive dashboards using Tableau, Power BI, or similar tools to provide DoW leaders with real-time economic threat indicators, case statuses, and risk scores. Collaborate with intelligence analysts and policy advisors to draft operational memos, risk assessments, and executive briefings regarding critical technology protection.
Required
Bachelor's degree in mathematics, computer science, data science, or other STEM disciplines.
4+ years of hands-on experience applying data science techniques such as statistical analysis, mathematical modeling, Data/Database Engineering, Machine Learning, and Visualization.
Programming competency in R, Python, or other languages suitable for managing and analyzing large datasets.
Active TS/SCI clearance.
Able to work fully onsite based on client needs.
Desired
7+ years of hands-on experience with applying data science techniques.
Master’s degree in mathematics, computer science, or other STEM disciplines.
Operational experience in the DoW.