Job Description

Responsibilities

Lead and conduct OIE/PSYOP operational impact assessments through advanced statistical analysis of routinely collected assessment data. Refine inputs for reporting, test analytic applications for operational utility, and support subordinate units via training materials and model refinement to improve assessment quality and decision-making.

Key Responsibilities

• Lead statistical analyses and evaluations of PSYOP/OIE assessment data; implement and validate multivariate models.
• Clean, process, manage, and document datasets for operational reporting and analysis.
• Conduct comparative analyses (correlation, ANOVA, regression, A/B testing, outlier testing, salience index, etc.).
• Test and refine analytical applications and models for operational utility; recommend methodological improvements.
• Prepare analytical deliverables: reports, visualizations, dashboards, codebooks, and reproducible analysis scripts.
• Develop training materials and provide mentoring/training to subordinate units on data practices and analytic methods.
• Coordinate with operational stakeholders to ensure analyses meet decision-maker needs and security requirements.
• Ensure secure handling and storage of sensitive/classified data per policy.

Qualifications

Required Qualifications

• Minimum of 3 years with PhD
• Clearance: Secret with eligibility to obtain TS/SCI at proposal submission and ability to maintain required clearance.
• Education: Doctor of Philosophy (PhD) in Behavioral Science (Psychology, Anthropology, or related field).
• Experience: Minimum 3 years’ experience in social science or market research methodology including data cleaning, processing, management, and statistical analysis.
• Modeling: Minimum 3 years’ experience developing multivariate models and completing statistical analyses.
• Tools: Minimum 3 years’ experience using statistical software (e.g., R, Python, SPSS, SAS).

Desired / Preferred Qualifications

• Minimum 1 year experience in a program evaluation role applying social science research and evaluation techniques to communication/messaging interventions.
• Minimum 1 year experience working with SOF organizations or doctrine.
• Completion of at least one advanced higher-education course in program evaluation.
• Minimum 5 years’ recent experience conducting comparative analyses: correlation, scatterplots, ANOVA, regression, response frequency/distribution, outlier testing, A/B testing, salience index, etc.
• Prior DoD/USSOCOM experience preferred; experience with classified data environments and secure analytic workflows preferred.

This is a Proposal requisition.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$112,000 - $179,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.