Senior Data Scientist

SUNAYU

Senior Data Scientist at Sunayu, LLC leading AI/ML solutions in defense and intelligence sectors. Collaborating with teams to deliver advanced analytics and innovative algorithms.

Posted 7/20/2026full-timeRockville • Maryland • 🇺🇸 United StatesSenior💰 $131,300 - $237,350 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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.

Highest-signal resume keywords

Advanced Analytics DevelopmentAI/ML Solutions DeploymentPython ProficiencyCollaboration with Hybrid TeamsTop Secret Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical AnalysisPredictive AnalyticsEntity ResolutionGraph AnalyticsExplainable AIOperational AnalyticsData ScienceQuantitative Intelligence AnalysisScripting Language ProficiencyVersion Control Tools

Tools & Technologies

PythonPyTorchScikit-learnLLM FrameworksGeospatial Analytics PlatformsDockerKubernetesOpenShiftGitJIRA

Certifications & Qualifications

Active Top Secret ClearanceEligibility for TS/SCI with Polygraph

Industry Keywords

Data EngineeringPlatform EngineeringCybersecurityObservabilityMission-Critical Applications

Tech Stack

Tools & technologies

Cyber SecurityDockerKubernetesOpenShiftPythonPyTorchScikit-LearnSubversionTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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)

Benefits

Comp & perks

3 Medical Plan Options
Dental and Vision
FSA, DCFSA, HSA
Life/AD&D Insurance
Short-Term & Long-Term Disability
Employee Assistance Program (EAP)
Training and Educational Assistance
Paid Time Off (PTO)
11 Federal holidays
401k plan with up to a 6% match (100% immediate vesting)