Social Science Research Analyst

Altamira • Tampa, FL

364d

About The Position

The Social Science Research Analyst is responsible for research on assigned topics, development and application of structured analytic methodology, and innovation in the application of analytics to Department of Defense Intelligence Enterprise (DIE) challenges. This is a key position for on-site work located in Tampa, FL directly reporting to the on-site Program Manager. Our customer is a US Government research and development (R&D) lab providing demonstrable solutions to current challenges. The focus is innovation on analytic methodology and technological enablement of structured analytics. This involves blending analytical rigor with data science and human factors to produce relevant capabilities that demonstrate the art of the possible in solving the end user's problem. A key part of that process is research and structured analysis, and we are looking for a skilled Social Scientist to join our Methodology Development Team. You will work alongside analysts, data scientists, data engineers, and creative design specialists to collaboratively produce applied solutions to the department's hardest challenges.

Requirements

• Expertise in one or more Social Science disciplines (preferably Sociology, Psychology, Anthropology)
• Strong verbal and written communication skills at the senior executive/university graduate level
• Proficiency in research methodology and scientific method
• Critical thinking and creative problem solving skills
• Experience in qualitative and/or quantitative analytics
• Ability to apply structured analytics to complex data
• Familiarity with Intelligence Community tools and data sources or commercial equivalents
• Proficiency in Microsoft Word, Excel, and PowerPoint

Nice To Haves

• Experience with the Full Intelligence Cycle
• Knowledge of one of the Intelligence disciplines (SIGINT, OSINT, HUMINT, MASINT, GEOINT)
• Experience in commercial/academic equivalents (Business Intelligence, Financial analysis, forensics, criminology, etc.)
• Background in Formal Science (Mathematics, Statistics, Logic, Computer)
• Knowledge in Physical/Life Science (Physics, Chemistry, Biology, Ecology)
• Experience with cloud-based visualization/data tools
• Familiarity with graph display/analytics tools (Neo4j, Gephi, Cytoscape, ORA)
• Experience with data visualization/dashboarding tools (Tableau, Kibana)
• Proficiency in coding languages (Python, R, C#, C++, Perl, Ruby)
• Experience with data extraction, transformation, loading (ETL)

Responsibilities

• Conduct research on assigned topics
• Develop and apply structured analytic methodology
• Innovate in the application of analytics to Department of Defense Intelligence Enterprise challenges
• Collaborate with analysts, data scientists, data engineers, and creative design specialists
• Assess emerging and current analysis tools/technology
• Document and communicate results to senior management

What This Job Offers

• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 251-500 employees