Responsibilities
- Lead the design, development, and deployment of advanced analytics and AI/ML solutions for mission-critical applications
- Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex challenges
- Deliver innovative, production‑ready algorithms and platforms
- Apply cutting‑edge techniques in statistical analysis, predictive analytics, entity resolution, graph analytics, explainable AI, and operational analytics
- Work with diverse data types (structured, unstructured, open source, digital media)
- Leverage modern tools such as Python, PyTorch, Scikit‑learn, LLM frameworks, and geospatial analytics platforms
- Contribute to the integration of AI, DevSecOps, data engineering, platform engineering, cybersecurity, and observability in a fast‑paced, engineering‑centric environment
Requirements
- Bachelor’s, Master’s, or equivalent graduate degree in a quantitative or analytical field (Computer Science, Mathematics, Statistics, Engineering, Physics, Computational Social Science, etc.)
- 12+ years of experience in data science, analytics, or quantitative intelligence analysis, developing analytics and AI/ML solutions (10+ years with a Master’s)
- Active Top Secret clearance and eligibility for TS/SCI with Polygraph
- Proficiency in Python and at least one other scripting language
- Demonstrated experience collaborating with hybrid teams to research, build, and deploy complex, user‑friendly analytical platforms
- Track record of creative problem solving, active learning, and mission‑focused outcomes
- Familiarity with version control tools (git, svn, JIRA) and deployment technologies (Docker, Kubernetes, OpenShift)
Core Competencies
Demonstrates expertise in designing and deploying advanced analytics and AI/ML solutions, leveraging proficiency in Python and statistical analysis techniques. Collaborates effectively with multidisciplinary teams to deliver innovative, production‑ready algorithms and platforms in a fast‑paced environment.
Highest‑signal resume keywords
- Advanced Analytics Development
- AI/ML Solutions Deployment
- Python Proficiency
- Statistical Analysis Techniques
- Top Secret Clearance
ATS Optimization Keywords
Hard Skills
- Data Science
- Predictive Analytics
- Entity Resolution
- Graph Analytics
- Explainable AI
- Operational Analytics
- Scripting Language Proficiency
- Creative Problem Solving
- Version Control Tools
- Deployment Technologies
Soft Skills
- Collaboration
- Active Learning
- Mission‑Focused Outcomes
Certifications & Qualifications
- Active Top Secret Clearance
- Eligibility for TS/SCI with Polygraph
Industry Keywords
- Quantitative Analysis
- Analytical Platforms
- Data Engineering
- DevSecOps
- Cybersecurity
- Observability
Tools & Technologies
- PyTorch
- Scikit‑learn
- LLM Frameworks
- Geospatial Analytics Platforms
- Docker
- Kubernetes
- OpenShift
- Git
- SVN
- JIRA