Location: Annapolis Junction, MD, 20701
Clearance Required: TS/SCI with Polygraph
Employment Type: Full-Time
Salary Range: $195,000 – $231,000 (USD)
Note: This does not include discretionary bonuses or benefits. Actual salary will vary based on location, experience, education, and skill level.

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A mission-critical opportunity is available for a Data Scientist to design, develop, and implement advanced analytics to solve complex data challenges in a secure environment. This position focuses on translating subject matter expertise into scalable machine learning, statistical, and graph-based models, and transitioning prototypes into production-ready solutions in support of national security objectives.

You will lead data exploration, feature engineering, model development, and integration efforts — helping to automate analysis workflows, generate insights, and inform strategic decision-making.

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Key Responsibilities:

• Develop machine learning, statistical, and graph-based models to analyze complex datasets
   

• Translate qualitative analytic requirements into quantitative models and software prototypes
   

• Produce data visualizations and dashboards to highlight key insights and trends
   

• Work with subject matter experts (SMEs) to extract meaningful features from structured and unstructured data (e.g., logs, metadata, databases)
   

• Prototype and evaluate multiple algorithmic approaches, selecting the best based on empirical performance
   

• Tune model hyperparameters and input features to optimize performance
   

• Validate models using standard evaluation techniques (e.g., cross-validation, ROC curves, confusion matrices)
   

• Develop experiments or simulated data when real-world data is unavailable
   

• Guide and oversee analytic teams throughout the development lifecycle
   

• Transition analytic prototypes to scalable, production-ready software
   

• Collaborate with software engineers and cloud developers to integrate analytics into broader systems
   

• Stay informed on emerging machine learning and AI techniques, and guide their practical application
   

• Lead development of automated systems to support mission-driven objectives

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Required Qualifications:

• Clearance: Active TS/SCI with Polygraph
   

• Education:
   

  • Bachelor’s degree or higher in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Engineering, Operations Research)
     

  • OR 4 additional years of relevant experience in lieu of degree
     

• Experience:
   

  • 10+ years in at least two of the following areas:
     

    • Machine learning
       

    • Data mining
       

    • Advanced analytics or statistical analysis
       

    • Artificial intelligence
       

    • Software engineering for data analysis
       

  • Experience with tools such as Python, R, SAS, or MATLAB
     

  • Experience leading analytic teams and managing end-to-end model development

 

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Education Substitution Options:

• A Master’s degree in a quantitative field may substitute for 2 years of experience
   

• A Doctoral degree in a quantitative field may substitute for 4 years of experience

 

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Preferred Qualifications:

• Hands-on experience transitioning models from prototype to production
   

• Familiarity with cloud platforms, distributed data systems, and production analytics frameworks
   

• Understanding of advanced performance metrics, interpretability techniques, and model governance
   

• Experience designing and managing data pipelines and ETL processes
   

• Strong written and verbal communication skills to engage technical and non-technical stakeholders

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Qualified candidates with the required clearance and relevant data science expertise are encouraged to apply. Please submit a resume detailing your technical experience, education, and security clearance status.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.

 

https://www.staffed4u.com/