Senior Data Scientist

Jobtailor; Rockville (MD); On-site; USD 150,000 - 190,000; Full time

Job summary

We are seeking a senior data science professional to lead the design, development, and deployment of AI/ML solutions for mission-critical applications. You will collaborate with analysts, engineers, and developers to build production-ready algorithms and platforms across diverse data types and geospatial contexts.

Applicant should bring TS/SCI eligibility, Python proficiency, and experience deploying analytics in hybrid teams, using tools like Docker, Kubernetes, and OpenShift.

Qualifications

• Bachelor’s/Master’s or equivalent in a quantitative field.
• 12+ years in data science or analytics; 10+ years with a Master’s.
• Active TS/SCI with polygraph eligibility.
• Proficient in Python and another scripting language.
• Experience deploying analytics platforms with hybrid teams.

Responsibilities

• Lead design, development, and deployment of advanced analytics and AI/ML solutions.
• Collaborate with analysts, engineers, and developers to deliver production-ready algorithms.
• Apply statistics, predictive analytics, entity resolution, and graph analytics.
• Work with diverse data types using Python, PyTorch, Scikit-learn, LLMs, geospatial tools.
• Integrate AI with DevSecOps, data engineering, platform engineering, and cybersecurity.

Skills

Python

Scripting languages

Team collaboration

Hybrid teams experience

Education

Bachelor’s/Master’s in quantitative field

Tools

Git

JIRA

Docker

Kubernetes

OpenShift

PyTorch

Scikit-learn

LLM Frameworks

Geospatial Analytics Platforms

Job description

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