Agile Defense
Overview
At Agile Defense we aim to bring adaptive innovation to support our nation's missions through advanced technologies, elite minds, and agility. We emphasize speed, flexibility, and ingenuity to strengthen and protect national interests. Job Details
Requisition #:
1045 Job Title:
Mid/Senior Data Scientist Location:
Original Headquarters Building, 1000 Colonial Farm Rd., McLean, Virginia 22101 Clearance Level:
Active DoD – TS/SCI FSP Required Certification(s):
Active U.S. security clearance at TS/SCI with Full Scope Poly 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. 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 Certifications
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. Skills
Expertise in NLP techniques (tokenization, named-entity recognition, embedding models). Proven ability to implement entity-extraction pipelines. Familiarity with generative AI frameworks (e.g., fine-tuning large language models). Strong proficiency in Python and its data-science ecosystem (pandas, scikit-learn, PyTorch/TensorFlow). 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 (Plotly, D3.js). Working 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. Physical & Other Requirements
Sedentary – 10 lbs. Maximum lifting, occasional lift/carry of small articles. Stand or sit; walk; use hands/fingers to handle or feel; see; push or pull; climb or balance as needed. Culture and Benefits
Employees are our priority. Agile Defense values a culture defined by the 6Hs: Happy, Helpful, Honest, Humble, Hungry, Hustle. We offer a competitive benefits package; details available on our Careers page.
#J-18808-Ljbffr
At Agile Defense we aim to bring adaptive innovation to support our nation's missions through advanced technologies, elite minds, and agility. We emphasize speed, flexibility, and ingenuity to strengthen and protect national interests. Job Details
Requisition #:
1045 Job Title:
Mid/Senior Data Scientist Location:
Original Headquarters Building, 1000 Colonial Farm Rd., McLean, Virginia 22101 Clearance Level:
Active DoD – TS/SCI FSP Required Certification(s):
Active U.S. security clearance at TS/SCI with Full Scope Poly 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. 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 Certifications
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. Skills
Expertise in NLP techniques (tokenization, named-entity recognition, embedding models). Proven ability to implement entity-extraction pipelines. Familiarity with generative AI frameworks (e.g., fine-tuning large language models). Strong proficiency in Python and its data-science ecosystem (pandas, scikit-learn, PyTorch/TensorFlow). 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 (Plotly, D3.js). Working 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. Physical & Other Requirements
Sedentary – 10 lbs. Maximum lifting, occasional lift/carry of small articles. Stand or sit; walk; use hands/fingers to handle or feel; see; push or pull; climb or balance as needed. Culture and Benefits
Employees are our priority. Agile Defense values a culture defined by the 6Hs: Happy, Helpful, Honest, Humble, Hungry, Hustle. We offer a competitive benefits package; details available on our Careers page.
#J-18808-Ljbffr