Data Scientist - AI/LM (TS/SCI w/Poly)
About The Position
Spry Methods is seeking an AI/LM 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. This position is tied to a federal proposal effort. Employment is contingent upon contract award and successful completion of the customer's onboarding and security requirements. Start dates and final reporting instructions will be confirmed upon award.
Requirements
- Active TS/SCI clearance with polygraph
- 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
Nice To Haves
- Experience with Cloud environments (e.g., AWS)
- Experience with Big data platforms and distributed data processing
- Experience with Cybersecurity frameworks, controls, or compliance requirements (e.g., STIGs, IAVAs)
- Strong technical background in Linux (e.g., Ubuntu, CentOS, RHEL) and/or Windows environments
- Strong technical background in Virtualized or hybrid infrastructure
- Experience with Jupyter Notebooks and interactive data analysis tools
- Experience with Network analysis and cyber data sets
- Familiarity with Automation and scripting for analytic workflows
- Familiarity with Software development practices and collaboration with engineering teams
Responsibilities
- 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
Benefits
- Final compensation will be based on experience, qualifications, certifications, clearance level, and contract requirements.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
