Social Science Research Analyst
Description
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 along side analysts, data scientists, data engineers, and creative design specialists to collaboratively produce applied solutions to the department's hardest challenges.
Qualifications and Role:
As part of a fast-paced R&D team, the Social Scientist will be an expert on social science methodology, research design, qualitative/quantitative analysis, a range of commercial/academic analytical techniques, tools, and processes. The ideal candidate will have a firm grasp on analytic methodology, data visualization techniques, and have the ability to create narratives that intuitively simplify complex concepts for a variety of audiences. Knowledge of data science fundamentals is not required but adds great value to the team.
In addition, you will assess emerging and current analysis tools/technology to evaluate operational usefulness and demonstrate the capability through application on operational data. Results must be documented and communicated both verbally and through multi-media methods to senior management. We are a highly visual focused organization, but strong written and verbal skills are also required.
The candidate must be proficient in all or most of:
- One or more Social Science disciplines (preferably Sociology, Psychology, Anthropology
- Verbal and written communication at the senior executive/university graduate level
- Research methodology and scientific method
- Critical thinking and creative problem solving
- Qualitative and/or quantitative analytics
- Application of structured analytics to complex data
- Intelligence Community tools and data sources or commercial equivalents
- Microsoft Word, Excel, and Power Point
The ideal candidate will also have experience in one or more of the below:
- Full Intelligence Cycle
- One of the Intelligence disciplines (SIGINT, OSINT, HUMINT, MASINT, GEOINT)
- Or commercial/academic equivalent (Business Intelligence. Financial analysis, forensics, criminology, etc.)
- Formal Science (Mathematics, Statistics, Logic, Computer)
- Physical/Life Science (Physics, Chemistry, Biology, Ecology)
- Cloud based Viz/data tools
- Graph display/analytics - Neo4j, Gephi, Cytoscape, ORA or others
- Spreadsheet / Data - Excel/PowerBI
- Data Viz/Dashboarding tools like Tableau and KIbana
- Coding languages – Python, R, C#, C++, Perl, Ruby, etc.
- Data extraction, transformation, loading (ETL)
Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status.
Altamira is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. We focus on recruiting talented, self-motivated employees that find a way to get things done. Join our team of experts as we engineer national security!