Data Science and Visualization Support / Active Secret

Peraton•Perris, CA

2d•$112,000 - $179,000•Onsite

About The Position

Peraton is hiring an experienced Data Science and Visualization Support Analyst for its Southern European Task Force-Africa (SETAF-AF) Strategic Mission Support program. Based in Vicenza, Italy, the position supports SETAF-AF in planning and executing U.S. Africa Command-directed data science, analytics, and visualization initiatives. Relocation is available, and the position can be accompanied. The role requires extensive, short-notice business travel to the African continent or other global locations. As an embedded analyst and technical leader, this position drives the command's data-driven transformation. It designs, deploys, and sustains advanced data visualization solutions; develops automated data pipelines; conducts operational analyses; and creates modeling and simulation tools that enhance decision-making. The analyst works with operational staff, intelligence professionals, logisticians, and planners to develop technical solutions that improve readiness, operational effectiveness, and strategic outcomes.

Requirements

Bachelor's degree in Operations Research, Data Science, Engineering, Computer Science, Mathematics, Statistics, or a related technical discipline.
At least 10 years of experience delivering technical and analytical solutions in operational environments.
At least 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 used by military organizations.
At least 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.
Experience developing and maintaining interactive dashboards, data visualizations, and business intelligence solutions using 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 complex operational or organizational challenges.
Working knowledge of Artificial Intelligence (AI), Machine Learning (ML), and rapid prototyping methodologies.
Ability to translate complex operational requirements into practical, scalable technical solutions.
Strong written and verbal communication skills and ability to engage 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.

Nice To Haves

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).
Portfolio of fielded Tableau, Power BI, Python, R, or equivalent analytical solutions used to inform operational, intelligence, logistics, or readiness decisions.
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 for 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.

Responsibilities

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 to 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.
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 for real-time status monitoring and operational decision support.
Assess and model the impacts of new technologies and process improvements on mission effectiveness.
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 logistics, force projection, Non-Combatant Evacuation Operations (NEO), and operational readiness.
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 for 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.