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.
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
Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field
8+ years of experience supporting data science, analytics, or cyber-related programs (or equivalent combination of education and experience)
3+ years of experience supporting Defensive Cyber Operations environments
3+ years of hands-on experience with machine learning and statistical modeling
Experience evaluating, validating, and implementing analytic models in operational environments
Proficiency in one or more programming languages used for data analysis (e.g., Python, R)
Experience using SQL or similar tools to manipulate and analyze data
Experience with:
Big data platforms and distributed data processing
Cybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs)
Strong technical background in:
Linux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environments
Virtualized or hybrid infrastructure
Experience with:
Jupyter Notebooks and interactive data analysis tools
Network analysis and cyber data sets
Familiarity with:
Automation and scripting for analytic workflows
Software development practices and collaboration with engineering teams
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/
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Spry Methods is a technology consulting firm that provides data-driven insights and program management support to government and commercial clients. They specialize in financial performance analysis, resource planning, and linking program requirements to funding.