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Data Scientist

Spry MethodsMclean, Virginia, United StatesHybrid, Onsite

Who We’re Looking For (Position Overview):


Spry Methods is seeking a mission-driven Senior Data Scientist with deep expertise in Artificial Intelligence (AI) to support high-impact national security and intelligence efforts. This role is ideal for candidates who combine technical excellence in AI/ML, strategic thinking, and a commitment to public service. You’ll be driving the application of symbolic reasoning, machine learning, and adversarial modeling to national defense, cyber threat prediction, and decision support systems.If you are PhD-trained in AI, bring military, defense, or FBI experience, and are passionate about applying cutting-edge AI to the most consequential challenges of our time, we want to meet you.

What Your Day-To-Day Looks Like (Position Responsibilities):


  • Design, develop, and deploy advanced AI/ML models focused on national security, intelligence, and cyber operations.
  • Lead research and prototyping efforts involving symbolic reasoning, logic-based AI, temporal modeling, and hybrid systems.
  • Partner with investigators and mission analysts to understand operational challenges and translate them into technical AI solutions.
  • Leverage large-scale datasets (including unstructured data, dark web intel, and network traffic) to forecast, detect, and mitigate security threats.
  • Contribute to strategic technology roadmaps, federal AI policy discussions, and ethical deployment of AI in government settings.

What You Need to Succeed (Minimum Requirements):


  • Masters or PHD in Computer Science, Artificial Intelligence, Machine Learning, or a related field (focus on symbolic AI, logic programming, or adversarial ML strongly preferred).
  • 5+ years of experience applying AI or data science in mission-critical environments, ideally in national security, defense, or intelligence sectors.
  • Demonstrated ability to apply machine learning and AI to cybersecurity, threat modeling, or decision-making under uncertainty.
  • Experience working with classified environments or prior service in a government agency (e.g., DARPA, FBI, DHS) or military branch.
  • Proficiency in Python, TensorFlow/PyTorch, and data engineering frameworks.

Ideally, You Also Have (Preferred Qualifications):


  • Former U.S. military officer or direct experience supporting federal R&D efforts.
  • Recognized contributions to AI safety, trustworthy ML, or national AI strategy (e.g., participation in federal commissions, publications, or policy frameworks).
  • Founder or contributor to AI-focused research labs, startups, or think tanks advancing public-sector AI.
  • Recipient of awards or distinctions in AI, cyber, or defense innovation.

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Life at Spry Methods

Spry is a certified Small Business headquartered in McLean, VA. Spry provides Enterprise, C4IT, Management, and Cyber Solutions to the federal government and commercial entities. Founded in 2001, Spry Methods was built on the foundation of combining industry knowledge with unmatched responsiveness to produce results for our customers. Our goal is to build a business dedicated to the maximization of value for all stakeholders starting with our employees, our customers, and our community. We recognize that talented and dedicated employees are our most valued assets and the foundation of our success. Guided by these principles, we have established an impressive track record of proven past performance serving our customers within the Commercial, Federal Civilian, DoD, and Intelligence Communities. A CMMI Level 3 certified and ISO 9001:2008 registered company, Spry is committed to quality and continuous improvement.
Thrive Here & What We Value1. Positive and energetic work environment2. Personal and professional growth encouragement3. Exciting and rewarding opportunities challenging abilities4. Multiple fund choices with company match (PCS)5. Paid holidays & PTO accrual at 15 days/year6. Annual training allowance for job-related education7. Diverse and inclusive workplace8. Engagement, creativity, quality, and innovation endorsement
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