Senior Access Discovery Specialist

Nyla Technology Solutions•Annapolis Junction, MD

About The Position

We are seeking an ever-curious, inventive Data Science & Tradecraft Automation Engineer to join our team. In this high-impact role, you will be on the front lines of transforming manual target knowledge into automated, high-throughput analytics workflows. You won't just run queries—you will architect modern search capabilities, build data models, and leverage computational mathematics to identify emerging technology opportunities and targeted insights. If you thrive on solving hard problems, automating complex workflows, and bringing your authentic self to high-stakes defense tech, Team Nyla wants you on board!

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Demonstrated hands-on experience automating complex intelligence tradecraft and developing automated analytics workflows.
Strong proficiency in Python for rapid script creation, data analysis, and workflow automation.
Deep expertise in data modeling, computational mathematics, and applying both qualitative and quantitative analytical techniques.
Proven capability to design and implement intuitive data visualizations to communicate critical findings.
Hands-on proficiency with XKS/DX for target knowledge discovery and search capabilities.
Bachelor’s Degree in Data Science, Computer Science, Applied Mathematics, Statistics, or a related quantitative discipline, PLUS 7+ years of professional experience in data science, predictive modeling, and AI/ML engineering OR Master’s Degree in a quantitative discipline, PLUS 5+ years of specialized experience developing and deploying machine learning models on large datasets OR High School Diploma / GED , PLUS 11+ years of hands-on technical experience in data science, advanced analytics, and predictive modeling in lieu of a degree.

Nice To Haves

Background in targeting methodologies, as well as access discovery and development.
Hands-on experience or familiarity with SWAT is a major plus.

Responsibilities

Transforming manual target knowledge into automated, high-throughput analytics workflows.
Architecting modern search capabilities.
Building data models.
Leveraging computational mathematics to identify emerging technology opportunities and targeted insights.
Developing automated analytics workflows.
Designing and implementing intuitive data visualizations to communicate critical findings.
Target knowledge discovery and search capabilities using XKS/DX.
Deploying innovative algorithms to surface technology trends and operational gaps.