Data Science and Visualization Support / Active Secret

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.

Responsibilities

Peraton is hiring an experienced Data Science and Visualization Support Analyst for our Southern European Task Force-Africa (SETAF-AF) Strategic Mission Support program.

Location: Vicenza, Italy (Relocation is available, and the position can be accompanied)

• This position is based in Vicenza, Italy and will require extensive, short-notice business travel to the African continent or other global locations.

Job Description:

This role will support SETAF-AF in the planning and execution of U.S. Africa Command (USAFRICOM) directed data science, analytics, and visualization initiatives. As an embedded Data Science and Visualization Support Analyst, you will serve as a key technical leader driving the command's data-driven transformation efforts.

In this role, you will:

• Design, deploy, and sustain advanced data visualization solutions, develop automated data pipelines, conduct operational analyses, and create modeling and simulation tools that enhance decision-making across the command. You will collaborate with operational staff, intelligence professionals, logisticians, and planners to deliver innovative technical solutions that improve readiness, operational effectiveness, and strategic outcomes.

Key Responsibilities Include:

Data-Driven Execution and Visualization

• Design, develop, deploy, and maintain interactive dashboard suites across multiple digital platforms.
• Visualize readiness, intelligence, logistics, and operational performance metrics.
• Integrate authoritative data sources from across the enterprise.
• Develop and implement automated data pipelines that eliminate manual processes and enable near real-time reporting.
• Collaborate with staff directorates including G-2, G-3, and G-4 to identify and deliver data-driven solutions.

Kill Chain Analysis and Operationalization

• Conduct functional analyses of the command's operational kill chain (F2T2EA).
• Develop simulation and analytical models to identify operational bottlenecks and process inefficiencies.
• Create dynamic visualizations that provide real-time status monitoring and operational decision support.
• Assess and model the impacts of new technologies and process improvements on mission effectiveness.

Modeling, Simulation, and Staff Integration

• Support planning efforts within the Joint Planning Process (JPP).
• Participate in exercises, operational planning events, and wargaming activities.
• Design, build, and operate custom analytical tools to support operational decision-making.
• Develop and maintain agent-based models and complex adaptive systems addressing challenges related to:
  • Logistics
  • Force projection
  • Non-Combatant Evacuation Operations (NEO)
  • Operational readiness

Technology Prototyping and Deployment

• Rapidly prototype and field AI/ML, analytics, and visualization solutions.
• Develop and maintain API integrations and database connectivity solutions.
• Evaluate emerging technologies and recommend innovative applications to mission requirements.
• Deliver training, coaching, and technical guidance to command personnel on data literacy and analytical tools.
• Promote a culture of data-driven decision-making across the organization.

Qualifications

Basic Qualifications:

• Bachelor's degree in Operations Research, Data Science, Engineering, Computer Science, Mathematics, Statistics, or a related technical discipline, and a minimum of ten (10) years of experience delivering technical and analytical solutions in operational environments.
• Minimum of five (5) years of hands-on experience designing, developing, and fielding technical capabilities, such as dashboards, data platforms, analytical tools, simulation models, or decision-support systems, that were adopted and actively utilized by military organizations.
• Minimum of three (3) years of experience developing production-quality software, scripts, or analytical applications for data analysis, automation, modeling, or simulation. Demonstrated coding proficiency through a GitHub portfolio, code samples, or comparable work products is required.
• Experience developing and maintaining interactive dashboards, data visualizations, and business intelligence solutions using tools such as Tableau, Power BI, Grafana, or similar platforms.
• Proficiency integrating disparate data sources through APIs, ETL pipelines, and relational and non-relational database technologies.
• Experience applying data analytics, operations research, modeling, and simulation techniques to solve complex operational or organizational challenges.
• Working knowledge of Artificial Intelligence (AI), Machine Learning (ML), and rapid prototyping methodologies.
• Demonstrated ability to translate complex operational requirements into practical, scalable technical solutions.
• Strong written and verbal communication skills, with the ability to effectively engage both technical and non-technical stakeholders.
• U.S. Citizenship required.
• Active Secret security clearance required.
  • Must be eligible for and willing to obtain a TOP SECRET/SCI security clearance.

Preferred Qualifications:

• Experience delivering technical capabilities that directly supported the Military Decision-Making Process (MDMP), Joint Planning Process (JPP), Joint Targeting Cycle, or Large-Scale Combat Operations (LSCO).
• Demonstrated portfolio of fielded Tableau, Power BI, Python, R, or equivalent analytical solutions used to inform operational, intelligence, logistics, or readiness decision-making.
• Proven experience developing and integrating solutions using REST APIs, SQL/NoSQL databases, cloud-based data architectures, and enterprise data platforms.
• Experience developing, operating, or analyzing simulation environments such as AFSIM, OneSAF, JCATS, AnyLogic, or comparable modeling frameworks.
• Experience supporting Combatant Commands, Army Service Component Commands (ASCCs), Joint Task Forces, or other joint headquarters organizations.
• Familiarity with operational planning, campaign design, targeting processes, and mission command concepts within joint or multinational environments.
• Experience developing agent-based models, complex adaptive systems, discrete-event simulations, or digital twins to support operational analysis and decision-making.
• Knowledge of intelligence, readiness, logistics, sustainment, force projection, or non-combatant evacuation operations (NEO) data domains.
• Experience supporting wargames, exercises, experimentation events, operational assessments, or concept development activities.
• Experience rapidly prototyping and fielding AI/ML, data visualization, and decision-support capabilities in operational environments.
• Master's degree in Operations Research, Data Science, Systems Engineering, Applied Mathematics, Computer Science, or a related technical field.

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.

Benefits Statement

Peraton offers eligible employees a variety of benefits including medical, dental, vision, life, health savings account, short/long term disability, EAP, parental leave, 401(k), paid time off (PTO) for vacation, and company paid holidays. A full listing of available benefits can be viewed at https://www.careers.peraton.com/benefits.

Application Statements

The application period for the job is estimated to be 30 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. By applying to this job, you are expressing interest in the role and the Company. During the review of your application, you may be required to participate in an on-camera interview, as well as participate in a process to verify your identity. Use of artificial intelligence (AI) tools of any kind during Peraton interviews is strictly prohibited unless the candidate has obtained prior written authorization. All interview responses must be the candidate’s own.

EEO

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