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 and 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 and 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
- 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 Python and modern tools for complex data challenges. Proven ability to collaborate with multidisciplinary teams and integrate AI with DevSecOps and data engineering practices.
Tools & Technologies
- Python
- PyTorch
- Scikit-learn
- LLM Frameworks
- Geospatial Analytics Platforms
- Docker
- Kubernetes
- OpenShift
- Git
- JIRA