Data Scientist - TS/SCI w/Polygraph


: $97,050.00 - $151,690.00 /year *

Employment Type

: Full-Time


: Defense/Security Clearance

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Job Description:

Leidos has a need for an analyst or data scientist with experience in training for a project located in Mclean, VA. In this role, candidate will work at a customer site to provide intelligence support for analytic methodologist customers across regional domains to include analysis and research for industry, infrastructure, technology, biographic, and targeted vulnerability. Provides support to analysis of social networks on an ad hoc basis as directed. The ideal candidate is able to make sense of large datasets in support of network and geospatial analysis. 20% of the candidate's time will also be dedicated to supporting and instructing an introduction and advanced social network analysis class.

Other work projects will include: work on quantitative analysis projects, support the development of new methodologies, support the development of customer's analytics codebase and train customer in use of social network analysis methodologies

Required Skills and Experience:

Candidates must have a TS/SCI with Poly to be considered
Bachelor's Degree and at least 4 years' experience or 8 years prior experience
Experience with Python, R, or other programming languages
Familiarity with relational data and quantitative analysis thereof
Strong basic computer skills (Microsoft office, specifically excel)
Strong presentation skills and ability to interact positively with students in a learning environment
Strong organizational skills
Experience with Github
Experience with network analysis tools such as Analyst's Notebook, Renoir, ORA, or UCINET
Experience with Social Network Analysis and/or Geospatial Analysis

Associated topics: sci, security clearance, security investigation, sensitive compartmented information, single scope background investigation, ssbi, top secret sci, ts sci * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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