Decision Scientist (Mid/Sr)

Understand and improve the judgment and decision making of individuals, groups, and organizations. Apply principles of psychology to business, analytic and other decision-making processes to improve and empirically evaluate those processes. Activities may include assisting in policy planning; workflow procedures testing and evaluation, analytic workflow redesign, training and development. May work with management to prescribe workflow modifications that improve worker productivity and analytic judgment. Assist Supply Chain Risk Management-Threat Analysis Center (SCRM-TAC) leadership with empirical evaluations on the Division's business and analytic processes in order to inform workflow design and processes that improve work productivity. Incumbent will routinely provide Division leadership with the results of this analysis to inform resource and prioritization decisions.

Position Description Duties:

• Improve data management and analytic workflows through tool modernization
• Create various machine learning/artificial intelligence-based tools or processes, such as recommendation engines or automated lead scoring systems
• Perform statistical analysis, apply data mining techniques, and build high quality prediction systems
• Employ mathematics, statistics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, and data protection to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources
• Develop and utilize machine learning and data mining algorithms, including, but not limited to, prediction algorithms based on open-source capabilities
• Integrate or code algorithms to support Government intelligence search and discovery missions
• Assist the Government in the development, execution and instruction of an analytic tradecraft, analytic writing and design training program
• Assist the Government in gathering after action reports, meeting minutes and trainee feedback to continue to refine the program. Perform other related duties at the direction of the Government
• At the discretion of the Government support DoD SCRM training requirements CONUS and OCONUS
  
  
  

Required Skills, Abilities, Education And Experience

• Have the technical skills, knowledge, and experience to accomplish the work with minimal oversight
• 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, SQL, or VBA depending on the use case; statistical analysis; and data mining algorithms
• Be proficient in the use of cloud-based platforms (Amazon Web Services etc) to perform data science tasks
• Have at least seven years' experience programming, operating, or maintain databases (e.g. SQL Server and/or Microsoft Access)
• Have at least seven years' experience applying quantitating and qualitative research methods, including data mining and analysis
• Experience with the DoD's Operations Research/Systems Analysis (ORSA) or Research Analyst functional area Army (FA-49) Civilian (1515) Navy (3211) Air Force (15A) highly desired
  
  
  

Contingent on contract award