Data Scientist - AI/ML (TS/SCI w/Poly)

Spry Methods AI/ML Data ScientistSpry 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.Position Responsibilities:Apply machine learning, statistical methods, and analytics to address cyber and intelligence-related challengesDesign, develop, and optimize models for pattern detection, classification, and anomaly identificationIngest, transform, and integrate data from multiple sources to support analytic workflowsBuild and maintain data pipelines and ensure data quality, consistency, and accessibilityDeploy analytic models into production and monitor performance for continuous improvementCollaborate with analysts and operators to interpret results and refine analytic approachesTranslate technical findings into clear, actionable insights for stakeholdersSupport rapid prototyping and delivery of new analytic capabilities in operational environmentsDocument data sources, models, and processes to ensure transparency and reproducibilityStay current with emerging data science techniques and tools to enhance mission impactMinimum Requirements:Active TS/SCI clearance with polygraphBachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or related field8+ 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 environments3+ years of hands-on experience with machine learning and statistical modelingExperience evaluating, validating, and implementing analytic models in operational environmentsProficiency in one or more programming languages used for data analysis (e.g., Python, R)Experience using SQL or similar tools to manipulate and analyze dataPreferred Qualifications:Experience with cloud environments (e.g., AWS)Big data platforms and distributed data processingCybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs)Strong technical background in Linux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environmentsVirtualized or hybrid infrastructureJupyter Notebooks and interactive data analysis toolsNetwork analysis and cyber data setsAutomation and scripting for analytic workflowsSoftware development practices and collaboration with engineering teams$240,000 - $260,000 a year Final compensation will be based on experience, qualifications, certifications, clearance level, and contract requirements. This position is contingent upon contract award.Perks of Working for Us (Benefits):Medical Coverage – Cigna - 4 OptionsDental Coverage – Cigna - PPO Base & Buy-Up PlansVision Coverage – Principal - VSP Choice NetworkPaid Holidays: Full-time employees receive 11 paid federal holidaysPaid Time Off (PTO) – PTO accrual starts at 15 days per yearTraining Benefit – Annual training allowance available toward any job-related training or education401(k) – Multiple Fund Choices through Fidelity with a company matchEEO StatementAt 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.