Senior Data Scientist

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, Dev Sec Ops , data engineering, platform engineering, cybersecurity, and observability in a fast-paced, engineering-centric environment

• 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, Open Shift)

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 Dev Sec Ops  and data engineering practices.

• Python
• Py Torch
• Scikit-learn
• LLM Frameworks
• Geospatial Analytics Platforms
• Docker
• Kubernetes
• Open Shift
• Git
• JIRA