SCI Clearance

Peraton•MacDill AFB, FL

1d•$112,000 - $179,000•Onsite

About The Position

Peraton is currently seeking to hire an experienced Data Scientist / Analyst to join and support the Operational, Planning, Implementation, and Assessment Services (OPIAS) program. Location: full-time, on-site at MacDill AFB, Florida Role & Purpose — You Will Work collaboratively with IO/MISO planners, social scientists, data engineers, intelligence analysts, and cultural advisors to translate empirical research into operational assessments and briefings focused on the Middle East. Support analysis and assessment activities, including data visualization (e.g., histograms, trend graphs) and technical inputs for analytic dashboard development, potentially in coordination with Peraton Labs. Integrate customer requirements for cross‑domain data solutions with Peraton’s technical team. Partner with military planners to break down, interpret, and synthesize data in ways that directly inform plans and operations.

Requirements

Bachelor’s degree linked to data analytics (e.g., math, physics, computer science) OR problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.) and a minimum of 8 years’ experience with BS/BA; 6 years with MS/MA; 3 years with PhD.
Demonstrated experience applying social media-oriented data analytic tool kits towards the evaluations of problem sets in the information environment.
Familiarity with major cloud providers (AWS, Azure, or Google Cloud) is essential.
Proficiency in programming languages like Python and R.
Experience with BI tools such as Tableau or Power BI.
Experience with cloud-based data integration.
Experience with building briefs summarizing data and research findings in MS PowerPoint.
U.S. citizenship required.
Current U.S. passport.
Current DoD TS/SCI security clearance.

Nice To Haves

Graduate degree (MS, PhD, etc.) linked to data analytics (e.g., math, physics, computer science) or problem set analysis (e.g., international relations, political science, cultural anthropology, communication studies, etc.).
Demonstrated experience in briefing senior military leadership (O-5 and above).
Experience with libraries such as Pandas and NumPy for data manipulation and SciPy for scientific computing.
Experience with machine learning frameworks like scikit-learn, TensorFlow, or PyTorch might be beneficial depending on further responsibilities.
Familiarity with version control and DevOp tools such as Git.
Demonstrated experience applying data analytic tools towards addressing national security issues.
Familiarity with containerization (using Docker) and orchestration (Kubernetes) to support cross-domain and scalable solutions.
Joint intelligence or operational experience with U.S. Geographical Combatant Commands.
Prior experience working Middle East-based problem sets.
Experience with campaign / operational assessments.
OSINT experience for interpreting the relevance of online trends, themes, narratives, and adversary behaviors in the information environment.
Experience utilizing C2IE (Command and Control of the Information Environment) to record assessment-related data on operations in the information environment (OIE).
Statistical package expertise in IBM SPSS/PASW, R, STATA or MS Excel statistics.

Responsibilities

Analyze structured and semi‑structured data sets, including opinion research, social‑media‑derived big data, and secondary‑source indices.
Support assessment and visualization of activities in the information environment by combining opinion research, intelligence, operational reporting, and social media insights.
Brief senior military leadership on commissioned research findings, trends, and online data analysis.
Provide data visualization and quantitative analysis; manage and optimize existing databases and dashboards; and incorporate primary‑source quantitative and qualitative research.
Use online analytic toolkits to conduct social‑media‑related data collection and scrapes.

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