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Agile Defense

Cybersecurity and IT services for government

Senior Data Scientist/Engineer

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeChantilly, VA, USA

About the Job

Requirements

  • An active U.S. security clearance at TS/SCI with Full Scope Poly is required.
  • A bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field is required.
  • Four to eight years of hands-on data-science experience, including algorithm development and model deployment in production environments, is required.
  • Strong proficiency in Python and its data-science ecosystem, including pandas, scikit-learn, and PyTorch or TensorFlow, is required.
  • Expertise in natural language processing techniques, such as tokenization, named-entity recognition, and embedding models, is required.
  • The candidate must be able to implement entity-extraction pipelines.
  • Familiarity with generative AI frameworks and experience with machine learning are required.
  • Experience with data-engineering fundamentals, including ETL, data cleansing, and feature engineering, is required.
  • The candidate must have experience working with cyber or security-related datasets.
  • The candidate must adhere strictly to security protocols, policies, and data-handling procedures.

Responsibilities

  • Lead end-to-end development of natural language processing 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.
  • Collaborate with cyber subject-matter experts to define data-quality standards and validation criteria.
  • 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.
  • Present findings and demonstrations to stakeholders, incorporating feedback into subsequent sprints.

Desired Qualifications

  • Experience with big-data platforms such as Spark and Hadoop, and stream processing with Kafka.
  • Familiarity with cloud-based intelligence-community environments such as AWS GovCloud and Azure Government.
  • Knowledge of containerization with Docker and orchestration with Kubernetes.
  • Hands-on experience with data-visualization tools such as Plotly and D3.js.

About the Company

Agile Defense

Cybersecurity and IT services for government

Agile Defense provides IT and cybersecurity services to the U.S. Federal Government, including digital transformation, IT modernization, and a Virtual Security Operations Center (VSOC) to defend against cyber threats. Its services support national security and civilian missions across federal agencies, delivered through various contract vehicles. The company expands its capabilities through acquisitions (IntelliBridge and XOR Security) and focuses on AI-enabled workforce transformation and enterprise IT to enhance government operations. Unlike many suppliers, Agile Defense emphasizes a government-focused portfolio with a multidimensional VSOC and AI-driven workforce upgrades, positioning itself to meet federal security and modernization needs. The goal is to help federal agencies protect data and systems, modernize IT infrastructure, and improve cyber resilience across national security and civilian missions.

Company size
1,001-5,000
Company stage
Acquired
Total funding
Not listed
Headquarters
Reston, VA
Founded
1998

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