Job description

About Agile Defense At Agile Defense we know that action defines the outcome and new challenges require new solutions. That’s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next. Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility—leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation’s vital interests. Requisition #: 1355 Job Title: Senior Data Scientist/Engineer Location: Chantilly, VA Clearance Level: Active DoD - TS/SCI FSP Non-Employee Referral Bonus Eligible: $2,000 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. JOB DUTIES AND 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. QUALIFICATIONS Required Clearance · Active U.S. security clearance at TS/SCI with Full Scope Poly 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. ADDITIONAL SKILLS & QUALIFICATIONS 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). · 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. 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 Environmental Conditions · Full-time, on-site at a secure government facility. · Standard business hours with occasional requirements for extended support during demos or deployments. · Strict adherence to all security protocols, policies, and data-handling procedures. . On-site parking. Strength Demands · Sedentary – 10 lbs. Maximum lifting, occasional lift/carry of small articles. Some occasional walking or standing may be required. Jobs are sedentary if walking and standing are required only occasionally, and all other sedentary criteria are met. Physical Requirements · Stand or Sit; Walk; Repetitive Motion; Use Hands / Fingers to Handle or Feel; See; Push or Pull; Climb (stairs, ladders) or Balance (ascend / descend, work atop, traverse). Our Core Values Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together. What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are. Happy - Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do. Helpful - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated. Honest - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support. Humble - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task. Hungry - Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges. Hustle - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities

Requirements

Must-haves

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.
Required Clearance
Active U.S. security clearance at TS/SCI with Full Scope Poly
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.
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 ).

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileaipythonmachine learningawsazuredockerkubernetes

Platform: lever
Effort: quick

Benefits

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