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Data Scientist 3 with Security Clearance

LinkedIn DCCA Annapolis Junction, MD
Not Applicable Posted April 2, 2026 Job link
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Requirements
  • Full Stack Agile development of web-based enterprise solutions utilizing Spring Boot, Microservices, Java17, React/Redux, HTML5, CSS3, SCSS, CSS frameworks, JavaScript/Typescript, JSON, Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
  • Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
  • Experience with AI/ML RMF SSP authorization
  • Experience with AI/ML services contract and configurations
  • Experience with AI/ML request security review
  • A security clearance or the ability to obtain a security clearance is required.
  • Candidates should have experience with large software systems and the full software development lifecycle
  • Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
  • Experience deploying robust machine learning
  • Built and/or deploy AI algorithms
  • Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
  • Strong troubleshooting, debugging and problem-solving skills
  • Ability to quickly explore, evaluate and learn new technologies
  • Strong communication skills, verbal and written.
  • Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels Education/Certifications: 10 years of experience analyzing datasets and developing analytics, and 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
  • Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
  • Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
  • Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
  • Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
Preferred Skills
  • The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
  • Experience with AI/ML services contract and configurations
  • Experience with AI/ML request security review
  • Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
Education
  • (Not required) – The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
  • (Not required) – Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
  • (Not required) – Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
  • (Not required) – Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
  • (Not required) – Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent