🛠 Tech Stack

💼 About This Role

You'll join a secure, on-site intelligence data-analysis initiative focused on empowering end users to rapidly sift through vast cyber datasets. You'll design, deploy, and refine NLP and entity-extraction models for a next-generation analytics tool. This role offers the chance to work on generative AI solutions in a highly classified environment.

🎯 What You'll Do

• Lead end-to-end development of NLP and entity-extraction models for cyber data.
• Prototype and integrate generative AI solutions for automated insight generation.
• Collaborate with cyber SMEs to define data-quality standards and validation criteria.
• Implement and maintain Python code for reproducible data-science workflows.

📋 Requirements

• Active TS/SCI with Full Scope Poly clearance.
• 4-8 years of hands-on data-science experience including production model deployment.
• Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow).
• Expertise in NLP techniques (tokenization, named-entity recognition, embedding models).

✨ Nice to Have

• 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).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 0 min

🚩 Heads Up

• On-site only in a highly secure environment with no remote flexibility.
• Requires TS/SCI with Full Scope Poly, which is a very high clearance level.