Senior Data Scientist/Engineer

Agile Defense • Chantilly, VA

1d • Onsite

About The Position

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.

Requirements

• Active U.S. security clearance at TS/SCI with Full Scope Poly
• 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.
• 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).
• Proven ability to implement entity-extraction pipelines.
• Familiarity with generative AI frameworks and experience with machine learning.
• Experience with data-engineering fundamentals (ETL, data cleansing, feature engineering).
• Exceptional verbal and written communication skills; ability to distill complex concepts for non-technical audiences.
• Demonstrated experience working with cyber or security-related datasets.

Nice To Haves

• 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).

Responsibilities

• 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.
• Collaborate with cyber SMEs 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 demos to stakeholders, incorporating feedback into subsequent sprints.

Benefits

• On-site parking.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees