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IBM Mission Data Analyst- TS/SCI CI POLY 
United States, Virginia, Reston 
865882550

24.06.2024

Your Role and Responsibilities

Duties include:

  • Supporting and advancing the team’s existing efforts to analyze mission data in support of NCPC leadership decision making
  • Identifying new opportunities to integrate data analytic techniques (e.g., machine learning, statistical analysis) into the team’s CP mission assessments
  • Gathering, analyzing, and visualizing CP mission data
  • Supporting NCPC leaders in understanding complex CP/WMD issues


Required Technical and Professional Expertise

  • US Citizen with active TS/SCI and CI Poly
  • Experience in R and/or Python
  • 2+ years of IC experience, including a demonstrated familiarity with and working knowledge of intelligence community entities, missions, functions, processes, and data
  • 2+ years of experience in data analytics, to include experience in the following: ­ Data acquisition, processing, storage, and retrieval; ­ Data analysis and visualization; ­ Evaluating and continuously improving machine learning methods; ­ Communicating key findings to senior executives in the form of high-quality written deliverables and oral briefings
  • Advanced skills in Microsoft Excel, to include using formulas, pivot tables, and charts to clean, manipulate, and portray data Experience with Microsoft PowerPoint
  • Demonstrated ability to work in a collaborative, team environment
  • Demonstrated ability to summarize and present complex technical issues in written and graphical manner for a non-technical audience
  • Demonstrated ability to work effectively under time constraints and potentially changing priorities, while maintaining a high level of attention to detail
  • BA/BS, preferably in Data Science, Mathematics, Engineering, or a related area of study


Preferred Technical and Professional Expertise

  • MS in a Data Science-related field
  • Experience running AI/ML algorithms against large datasets
  • Full-scope Polygraph
  • Experience supporting the DNI
  • Experience using Databricks or other cloud based analytic environments