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

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.

What Your Day-To-Day Looks Like (Position 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

What You Need to Succeed (Minimum 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

Ideally, You Also Have (Preferred Qualifications):

Experience with:

• Cloud environments (e.g., AWS)

• 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