Job DescriptionACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIREDWe are seeking a
Data Scientist / Advanced Discovery Specialist with an analyst, targeteer, or signals intelligence background to join our team supporting critical defense and intelligence customer missions. In this role, you will deliver advanced discovery support by combining machine learning, analytical prototyping, custom scripting, and data visualization with specialized TechSIGINT tools. You will analyze complex datasets, perform statistical analysis, and rapidly build automation workflows and models that uncover hidden patterns and high-value targets.
If you are adaptable, eager to embrace new tools and technologies as mission needs evolve, and passionate about bringing innovative discovery techniques directly to operational users, Team Nyla is where you belong.
The annual base salary range for this role is $152,000-$180,000 (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- Targeting & Analyst Background:Prior operational experience as an intelligence analyst, targeteer, or discovery specialist with deep familiarity in operational intelligence workflows.
- Advanced Discovery & Machine Learning: Applied experience using machine learning models, statistical analysis, and analytical prototyping to perform operational discovery across complex, high-volume datasets.
- TechSIGINT Tools: Hands-on experience utilizing specialized TechSIGINT tools, signals analysis suites, and technical data sources for targeting and threat discovery.
- Scripting & Automation: Strong practical programming skills in Python or R for custom tool development, rapid prototyping, workflow automation, and data parsing.
- Data Visualization: Proficiency in creating dynamic data visualizations and dashboards to communicate complex statistical trends and discovery leads to non-technical stakeholders.
- Adaptability: Demonstrated ability to quickly learn, adapt to, and integrate emerging software tools, techniques, and technologies into ongoing operational workflows.
Education:
Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS
7+ years of professional experience in data science, NLP, or software engineering OR
Master's Degree in a related field, PLUS
5+ years of relevant professional experience OR
High School Diploma / GED, PLUS
11+ years of specialized technical experience in lieu of a degree.
Desired SkillsBig Data Analytics: Experience working with distributed data frameworks (e.g., Apache Spark, Hadoop) and cloud-native analytics platforms.
Database & Query Languages: Advanced proficiency in SQL and NoSQL databases for complex querying and data preparation.
Graph & Network Analysis: Familiarity with graph analytics, link analysis, and network visualizers (e.g., Gephi, NetworkX, Maltego, Palantir).
Jupyter & Notebook Prototyping: Extensive experience rapidly prototyping analytical models in Jupyter Notebooks or interactive data science environments.
