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Barbaricum is a Service-Disabled Veteran-Owned Small Business headquartered in Washington, D.C., specializing in government contracting and defense consulting. Founded in 2008, the firm delivers specialized services in cybersecurity, intelligence operations, data analytics, research, and strategic communications. It primarily supports federal agencies and U.S. National Security organizations by deploying technology-enabled strategies to tackle complex global challenges.

Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.

Headquartered in Washington, DC's historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation's most complex and rewarding challenges. Join our team.

Barbaricum is seeking a Senior Data Science Consultant to provide advanced analytical engineering, strategic data architecture, and executive-level decision-support modeling. This role serves as a principal technical advisor, focusing on senior analytics, automation, and enterprise platform optimization for the anticipated Headquarters Air Force Mission Assurance (MA) Program. The candidate will lead the design of sophisticated data workflows, predictive reporting tools, and automated monitoring systems to oversee risk management actions for Department of War (DoW) and USAF critical assets in accordance with DoDD 3020.40 and DODI 3020.45.

Responsibilities

  • Architect enterprise-level data science workflows and predictive analytics models to provide HAF senior leadership with quantitative foresight into Mission Assurance risks and strategic readiness.
  • Lead the technical deployment and optimization of secure data applications, monitoring views, and complex decision-support tools inside platforms like Palantir Foundry and Advana.
  • Design and implement end-to-end automation pipelines utilizing advanced machine learning, NLP, and AI methodologies to streamline the ingest and exploitation of unstructured assessment data.
  • Construct high-fidelity risk mitigation and simulation models to mathematically evaluate multiple Courses of Action (COAs) and forecast systemic vulnerabilities across critical military networks.
  • Develop sophisticated financial-to-operational ROI frameworks that algorithmically cross-map budget expenditures against Mission Essential Task (MET) readiness and asset protection levels.
  • Formulate strategic technical staffing materials, executive dashboards, and white papers to translate complex data science methodologies into actionable insights for general officers.
  • Provide authoritative oversight on data governance, ensuring that analytical models and automated reporting systems maintain strict compliance with Joint Staff and Department of the Air Force (DAF) policies.
  • Serve as the principal interface between capability providers, senior military leaders, and technical data engineers to align platform architecture with real-world tactical requirements.
  • Direct the technical synthesis of cross-functional Mission Assurance datasets, standardizing data inputs across MAJCOMs, NAFs, and inter-service partners.
  • Mentor and provide technical oversight to journeyman-level data analysts and managers, driving best practices in algorithm development and platform application design.

Qualifications

  • Clearance: Active DoD TS Clearance required.
  • Education: Master of Arts (MA) or Master of Science (MS) degree in Data Science, Computer Science, Operations Research, Statistics, or a related quantitative field required.
  • Experience: Minimum of ten (10) years of experience in data science, predictive modeling, or advanced analytics, with a proven track record dealing with DoW critical infrastructure or readiness.
  • Certifications: Palantir Foundry Application Developer Certification required.
  • Passport & Travel: Valid US passport; ability to travel CONUS or OCONUS approximately 25% of the time.
  • Communication: Exceptional oral, written, and briefing skills, with demonstrated experience presenting complex technical/statistical findings directly to flag-level officers or senior executives.
  • Core Skills: Masterful command of advanced analytics, risk management methodologies, problem-solving under tight timelines, and the ability to independently drive high-impact technical initiatives.

Desired Qualifications

  • Staff Experience: Extensive experience working on large G, J, or A staffs (e.g., Joint Staff, HAF, or MAJCOMs/NAFs) within requirements, plans, and programs or strategic modeling units.
  • Domain Expertise: Expert-level knowledge in a Mission Assurance related discipline including Cybersecurity, Force Protection, Civil Engineering, Intelligence, or Communications.
  • Systems Familiarity: Mastery of the Mission Assurance Risk Management System (MARMS), Maven, Envision, or specialized DoD data ecosystems.

EEO Commitment

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.

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