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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist/Engineer - **Company:** Agile Defense - **Location:** Chantilly, VA, United States - **Experience:** Expert - **Salary:** $192,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Algorithm Design, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, D3.Js, Data Cleansing, Extract Transform Load (ETL), Data Visualization, Apache Hadoop, Data Intelligence, Python (Programming Language), Machine Learning, Natural Language Processing, Named Entity Recognition, Tensorflow, Feature Engineering, Pytorch, Large Language Models, Apache Spark, Generative AI, Pandas, Containerization, Scikit Learn, Kubernetes, Information Technology, Plotly, Apache Kafka, Machine Learning Operations, Stream Processing, Docker - **Published:** July 28, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9062150/senior-data-scientistengineer ## About the Role 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. 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. ## Description 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., · 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., · 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). $192,000 - $200,000 a year 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. ## Related Videos - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [Cyber Sleuth: Finding Hidden Connections in Cyber Data](https://www.wearedevelopers.com/videos/893-cyber-sleuth-finding-hidden-connections-in-cyber-data) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 134 - Where pixels sing?](https://www.wearedevelopers.com/magazine/477-dev-digest-134-where-pixels-sing) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)