Company Overview
Spry Methods is a proven provider of mission-focused technology, cybersecurity, and program management solutions supporting critical Federal and DoD missions. We specialize in delivering integrated, high-impact solutions across cyber operations, enterprise resource management, and mission support services. Our culture emphasizes collaboration, accountability, and innovation - empowering our teams to deliver meaningful outcomes in complex, high-security environments.
Who We’re Looking For (Position Overview):
Spry Methods is seeking an AI/ML Data Scientist to support Defensive Cyber Operations within a mission-focused environment. This role directly supports national security objectives by developing and deploying analytic capabilities that enable detection, analysis, and response to cyber threats.
The Data Scientist will work within an integrated team of engineers, analysts, and mission stakeholders to transform complex, high-volume data into actionable insights. The position emphasizes applied analytics, model deployment, and operational impact—moving beyond research to deliver solutions that support real-time cyber operations.
Perks of Working for Us (Benefits):
Medical Coverage – Cigna - 4 Options
- Traditional - PPO Open Access Plus Network
- (2) HDHP - PPO Open Access Plus Network
- HDHP - EPO Open Access Plus Network
Dental Coverage – Cigna - PPO Base & Buy-Up Plans
Vision Coverage – Principal - VSP Choice Network
Paid Holidays: Full-time employees receive 11 paid federal holidays
Paid Time Off (PTO) – PTO accrual starts at 15 days per year
Training Benefit – Annual training allowance available toward any job-related training or education
401(k) – Multiple Fund Choices through Fidelity with a company match
For our full list of benefits, please visit http://www.sprymethods.com/careers/benefits/
EEO Statement
At Spry, we believe talented and dedicated employees are our most valued assets and the foundation of our success. We are committed to crafting a diverse and inclusive workplace that endorses engagement, creativity, quality and innovation.
We are proud to be an Affirmative Action and Equal Opportunity Employer and as such, we evaluate qualified candidates in full consideration without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, national origin, age, disability status, protected veteran status, and any other protected status.
Apply machine learning, statistical methods, and analytics to address cyber and intelligence-related challenges
Design, develop, and optimize models for pattern detection, classification, and anomaly identification
Ingest, transform, and integrate data from multiple sources to support analytic workflows
Build and maintain data pipelines and ensure data quality, consistency, and accessibility
Deploy analytic models into production and monitor performance for continuous improvement
Collaborate with analysts and operators to interpret results and refine analytic approaches
Translate technical findings into clear, actionable insights for stakeholders
Support rapid prototyping and delivery of new analytic capabilities in operational environments
Document data sources, models, and processes to ensure transparency and reproducibility
Stay current with emerging data science techniques and tools to enhance mission impact
- Active TS/SCI clearance with polygraph
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Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field
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8+ years of experience supporting data science, analytics, or cyber-related programs (or equivalent combination of education and experience)
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3+ years of experience supporting Defensive Cyber Operations environments
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3+ years of hands-on experience with machine learning and statistical modeling
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Experience evaluating, validating, and implementing analytic models in operational environments
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Proficiency in one or more programming languages used for data analysis (e.g., Python, R)
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Experience using SQL or similar tools to manipulate and analyze data
Experience with:
- Cloud environments (e.g., AWS)
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Big data platforms and distributed data processing
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Cybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs)
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Strong technical background in:
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Linux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environments
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Virtualized or hybrid infrastructure
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Experience with:
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Jupyter Notebooks and interactive data analysis tools
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Network analysis and cyber data sets
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Familiarity with:
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Automation and scripting for analytic workflows
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Software development practices and collaboration with engineering teams
Final compensation will be based on experience, qualifications, certifications, clearance level, and contract requirements.. This position is contingent upon contract award.