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

Spry Methods, Inc.; Linthicum (MD); On-site; USD 130,000 - 185,000; Full time

Job summary

Spry Methods, Inc. seeks an AI/LM Data Scientist to support Defensive Cyber Operations in a mission-focused environment. You will transform high-volume data into actionable insights, developing analytic capabilities for detection, analysis, and response to cyber threats.

The role emphasizes applied analytics, model deployment, and real-time operational impact, collaborating with engineers, analysts, and mission stakeholders to deliver impactful solutions in secure environments.

Qualifications

• Active TS/SCI clearance with polygraph.
• Bachelor’s degree in a relevant field (CS, Data Science, Math, Engineering).
• 8+ years experience in data science, analytics, or cyber programs.
• 3+ years in Defensive Cyber Operations environments.
• 3+ years hands-on ML and statistical modeling.
• Experience evaluating and implementing analytic models in operational environments.
• Proficiency in Python or R for data analysis.
• Experience using SQL to manipulate and analyze data.

Responsibilities

• Apply ML, statistical methods, and analytics to address cyber and intelligence 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 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 for transparency and reproducibility.
• Stay current with emerging data science techniques to enhance mission impact.

Skills

Python

R

Education

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or related field

Tools

SQL

Jupyter Notebooks

AWS

Job description

About Us

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.

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.

Who We’re Looking For (Position Overview)

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.

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)
• 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

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Final compensation will be based on experience, qualifications, certifications, clearance level, and contract requirements. This position is contingent upon contract award.