Tradecraft Automation & Data Analytics Engineer

Nyla Technology Solutions; Maryland; On-site; USD 152,000 - 180,000; Full time

Benefits offered by this job

4 weeks annual leave

11 holidays

Nyla FLEX program

100% health care coverage

10% 401k matching

Professional Development $5,000/year

Student loan repayment

Volunteer hours (8 per year)

Job summary

Nyla Technology Solutions, based in Maryland, seeks a Data Science & Tradecraft Automation Engineer with an active TS/SCI polygraph to transform manual target knowledge into automated analytics workflows, enabling high-throughput observations for defense missions.

You will architect modern search capabilities, build data models, and apply computational mathematics to identify technology opportunities and actionable insights, working across teams in a fast-paced environment.

Qualifications

• Bachelor's degree in a quantitative field plus 7+ years in data science/AI/ML engineering.
• Master's degree in a quantitative discipline plus 5+ years of specialized experience.
• High School Diploma with 11+ years of hands-on data science / analytics experience.

Responsibilities

• Automate complex intelligence tradecraft and analytics workflows.
• Architect modern search capabilities and data models.
• Apply computational mathematics to surface insights and opportunities.
• Transform manual target knowledge into scalable automated pipelines.

Skills

Tradecraft Automation

Python scripting

Data modeling & mathematics

Data Visualization

Targeting analytics

Education

Bachelor's degree in quantitative field (Data Science / CS / Applied Math / Statistics)

Master's degree in a quantitative discipline

High School Diploma / GED with 11+ years experience in data science

Tools

SWAT

XKS/DX

Job description

Nyla Technology Solutions, based in Maryland, seeks a Data Science & Tradecraft Automation Engineer with an active TS/SCI polygraph to transform manual target knowledge into automated analytics workflows, enabling high-throughput observations for defense missions.

You will architect modern search capabilities, build data models, and apply computational mathematics to identify technology opportunities and actionable insights, working across teams in a fast-paced environment.