Job Description
Job Description
About the Role
We are seeking a highly capable Data Scientist to build and operationalize advanced analytics and machine learning capabilities that directly support national security missions. You will work closely with mission analysts, engineers, and operators to convert complex data into actionable intelligence, predictive insights, and measurable results.
This is a hands-on position where you will take ownership of the entire data science lifecycle, from data exploration and model development through secure deployment and continuous improvement. You will combine strong analytical expertise with engineering discipline to deliver reliable, mission-ready solutions.
Key Responsibilities
- Design and implement analytical models and algorithms that drive mission outcomes
- Develop and deploy production-grade machine learning pipelines in secure, operational environments
- Collect, process, and analyze large, diverse datasets to uncover trends and improve decision-making
- Build and automate end-to-end data workflows that support continuous delivery of insights
- Collaborate with cross-functional teams to translate mission requirements into technical data solutions
- Enhance system reliability through model monitoring, validation, and performance reporting
- Present analytical findings clearly and effectively to both technical and operational audiences
Required Qualifications
- Active TS/SCI clearance (with Full Scope Polygraph)
- Bachelors or Masters degree in Data Science, Computer Science, Mathematics, or a related field (or equivalent experience)
- Proven experience applying data science and machine learning to real-world operational or mission-focused challenges
- Strong proficiency in Python and data science libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch
- Experience with SQL and distributed data processing tools such as Spark or Dask
- Solid understanding of statistics, model validation, and data governance principles
- Proficiency with Linux environments and Git-based version control systems
- Proven experience deploying analytical solutions securely and at scale
Nice to Have
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Familiarity with R or Julia for advanced statistical analysis
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Experience using cloud-based ML platforms such as AWS SageMaker, Azure ML, or GCP Vertex AI
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Knowledge of MLOps practices, containerization, and orchestration (Docker, Kubernetes)
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Background in natural language processing, computer vision, or time-series analysis
Whats on Offer?
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Contribute directly to national security missions through data-driven innovation
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Highly competitive salary with clearance retention incentives
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Access to advanced analytical and compute infrastructure in secure environments
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Ongoing professional development, training, and certification support