Job Description

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED

We are seeking a versatile, driven Data Scientist / AI/ML Automation Engineer to transform raw collection streams into automated, high-value intelligence. In this key role, you will apply Python data science toolkits, RESTful APIs, and machine learning techniques to optimize collection processing, automate analytical workflows, and extract actionable insights from high-volume data flows. Whether you are already experienced in AI/ML or a strong Data Scientist eager to expand your skillset through sponsored advanced coursework, you will play a hands-on role in constructing API data retrieval tools, structuring complex dataframes, and developing dynamic analytical capabilities.

The annual base salary range for this role is $156,000-$184,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.

Required Skills

• Python Data Science & Frame Aggregation:Mastery of Python for complex data manipulation, dataframe structuring (e.g., pandas), and data aggregation.
  • API Development & Integration: Strong proficiency interacting with, reading, consuming, and building tools to retrieve data via RESTful APIs.
  • Collection Processing & Workflow Automation: Practical experience applying algorithmic logic or AI/ML techniques to automate data ingestion, collection processing, and workflow optimization. (Nyla is willing to sponsor formal training for strong Data Scientists seeking to grow their AI/ML depth).
  • SIGINT & Mission Domain Awareness: Background or experience working directly with SIGINT data collection, dataflow mechanics, or intelligence data processing systems.
  • Analytical Problem Solving: Demonstrated ability to translate raw, multi-source dataset feeds into structured analytical pipelines.
• Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 10+ years of professional experience in data science, NLP, or software engineering OR Associate's Degree PLUS 12+ years of specialized technical experience in lieu of a degree.

Desired Skills

Geospatial & Dynamic Visualization: Experience crafting custom data visualizations using Plotly, Shapely, GeoPandas, or interactive mapping libraries.

Specialized Intelligence Infrastructure: Operational familiarity or proficiency with XKEYSCORE (XKS) / DX tools and complex SIGINT dataflow architectures.

Enterprise Analytics & Querying: Hands-on experience with Splunk, Elastic, Kibana (ELK stack), SQL databases, or enterprise networking concepts.

Lightweight Web Development: Exposure to front-end UI framework scripting using Bootstrap (HTML) or Pyodide.