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Higher than most similar jobs
$192K–$200K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Chantilly, VA
Open 6 months, first seen by us 189 days agoSalary 192,000 – 200,000 USD per year Our Core ValuesRead the full posting
Active DoD - TS/SCI FSP
Lead end-to-end development of NLP and entity-extraction models for cyber data
Prototype and integrate generative AI solutions to automate insight generation
Parse raw logs and prepare feature sets for data-engineering tasks
Evaluate model performance and iterate to improve accuracy and scalability
Present findings and demos to stakeholders and incorporate feedback
Lead the end-to-end development of NLP and entity-extraction models tailored for cyber data.
Prototype and integrate generative AI solutions to automate insight generation.
Assist with data-engineering tasks, including parsing raw logs and preparing feature sets.
Conduct model performance evaluations and iterate to improve accuracy and scalability.
Present findings and demos to stakeholders, incorporating feedback into subsequent sprints.
Expertise in NLP techniques (e.g., tokenization, named-entity recognition, embedding models).
Education, Background, and Years of Experience · Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field. · 4–8 years of hands-on data-science experience, including algorithm development and model deployment in production environments.
At Agile Defense we know that action defines the outcome and new challenges require new solutions.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 189 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Higher than most similar jobs
$192K–$200K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Day 189
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· Translate user stories and requirements into technical specifications and test plans. · Implement, document, and maintain Python code for reproducible data-science workflows. · Conduct model performance evaluations and iterate to improve accuracy and scalability.
Required Skills · Strong proficiency in Python and its data-science ecosystem (pandas, scikit-learn, PyTorch/TensorFlow). Expertise in NLP techniques (e.g., tokenization, named-entity recognition, embedding models).
· Experience with big-data platforms (Spark, Hadoop) and stream processing (Kafka). · Familiarity with cloud-based intelligence-community environments (AWS GovCloud, Azure Government). · Knowledge of containerization (Docker) and orchestration (Kubernetes).
· Familiarity with cloud-based intelligence-community environments (AWS GovCloud, Azure Government). · Knowledge of containerization (Docker) and orchestration (Kubernetes). · Hands-on experience with data-visualization tools (e.g., Plotly, D3.js).
Preferred Skills · Experience with big-data platforms (Spark, Hadoop) and stream processing (Kafka). · Familiarity with cloud-based intelligence-community environments (AWS GovCloud, Azure Government).
· Knowledge of containerization (Docker) and orchestration (Kubernetes). · Hands-on experience with data-visualization tools (e.g., Plotly, D3.js). WORKING CONDITIONS
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We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
192,000 – 200,000 USD per year
Regular
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Salary 192,000 – 200,000 USD per year Our Core Values
Chantilly, VA
SUMMARY You will join a secure, on-site intelligence data-analysis initiative focused on empowering end users to rapidly sift through vast cyber datasets and surface actionable insights. Working alongside cyber subject-matter experts, data engineers, and analysts, the program delivers a next-generation analytics tool that combines natural language processing, entity extraction, and generative AI to accelerate decision making in a highly classified environment. As a Senior Data Scientist, you will design, develop, and deploy advanced data-science models and workflows within a cross-functional team. You will translate complex requirements into scalable algorithms, collaborate on data-ingestion and parsing tasks, and iteratively refine prototypes to meet end-user needs. Your work will directly inform the core analytics capabilities of the program’s user interface.
Environmental Conditions · Full-time, on-site at a secure government facility. · Standard business hours with occasional requirements for extended support during demos or deployments.
More relevant text appears in the full description.
Required Clearance · Active U.S. security clearance at TS/SCI with Full Scope Poly Education, Background, and Years of Experience