Spry Methods logo

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

Spry MethodsLinthicum, MD

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.1

Reclaim your time by letting our AI handle the grunt work of job searching.

We continuously scan millions of openings to find your top matches.

pay-wall

Overview

Schedule
Full-time
Career level
Senior-level
Remote
On-site

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/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

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

Automate your job search with Sonara.

Submit 10x as many applications with less effort than one manual application.

pay-wall

FAQs About Data Scientist - AI/ML (TS/SCI w/Poly) Jobs at Spry Methods

What is the work location for this position at Spry Methods?
This job at Spry Methods is located in Linthicum, MD, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at Spry Methods?
Employer has not shared pay details for this role.
What employment applies to this position at Spry Methods?
Spry Methods lists this role as a Full-time position.
What experience level is required for this role at Spry Methods?
Spry Methods is looking for a candidate with "Senior-level" experience level.
What is the process to apply for this position at Spry Methods?
You can apply for this role at Spry Methods either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.