Mid-Level Cyber Data Scientist

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking a sharp, mission-focused Access Discovery & Enablement Analyst to join the NESCAA TFO initiative. In this critical, hands-on role, you will leverage advanced targeting tools and analytical frameworks to identify, analyze, and enable complex access vectors. You will bring automation directly to analyst workflows—crafting custom Python scripts and building interactive Jupyter Notebooks to accelerate data discovery, streamline repeatable analysis, and extract high-value insights from mission datasets.

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Proven proficiency and operational comfort working with XKS and DX frameworks to perform target analysis and access discovery.
Strong hands-on scripting skills in Python to automate routine analytical tasks, parse datasets, and build custom workflow tools.
Experience creating, organizing, and executing workflows within Jupyter Notebooks to conduct data analysis and share actionable findings with mission partners.
Ability to evaluate raw, multi-source intelligence data to uncover hidden patterns and operational opportunities.
Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 2+ years of professional software engineering experience OR Master’s Degree in a related technical field (0+ years experience required) OR High School Diploma / GED , PLUS 6+ years of hands-on technical software development experience in lieu of a degree.

Nice To Haves

Familiarity or hands-on experience with C++ development for low-level data processing or custom analytic tooling.
Direct operational experience supporting Target Access Operations (TAO), Target Development, or specialized TFO mission frameworks.
Experience working with custom data processing pipelines and integrating automation scripts directly into broader analyst ecosystems.

Responsibilities

Leverage advanced targeting tools and analytical frameworks to identify, analyze, and enable complex access vectors.
Bring automation directly to analyst workflows by crafting custom Python scripts and building interactive Jupyter Notebooks.
Accelerate data discovery, streamline repeatable analysis, and extract high-value insights from mission datasets.