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Senior Data Scientist
Morgan 6 LLC. Design, build, tune, validate, and harden machine-learning and advanced analytic models .
Posted 9/18/2026full-timeRemote • Florida • United StatesSenior💰 $135,000 - $225,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and validating machine-learning models and advanced analytics, with a strong focus on data processing, performance evaluation, and model interpretability. Proficient in Python and capable of working with large, complex datasets while ensuring compliance with Government security requirements.
Highest-signal resume keywords
Machine Learning Model DevelopmentPython DevelopmentStatistical AnalysisData Processing PipelinesTechnical Documentation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningAdvanced AnalyticsPredictive ModelingAnomaly DetectionStatistical AnalysisData ProcessingModel Performance EvaluationEntity ResolutionGraph-Based AnalyticsBehavioral Anomaly Detection
Soft Skills
CollaborationTechnical CommunicationIndependent WorkAnalytical ThinkingFeedback Incorporation
Tools & Technologies
Containerized DeploymentDependency ManagementVulnerability ScanningRelease DocumentationSecure Government Environments
Industry Keywords
Data ScienceGovernment SecuritySystem AccessMulti-Source DatasetsReproducible Workflows
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Design, build, tune, validate, and harden machine-learning and advanced analytic models
- Develop graph-based analytics for supplier, beneficial-ownership, and supply-chain relationship analysis
- Perform entity resolution across disparate Government, commercial, and open-source datasets
- Develop and maintain data-processing and analytic pipelines
- Build behavioral anomaly detection models for host and user activity
- Develop cascade-based analytics to prioritize large cyber-alert volumes
- Establish transparent baseline models before applying advanced machine-learning techniques
- Develop interpretable and explainable models with source-traceable outputs
- Define and evaluate model performance metrics and acceptance criteria
- Monitor feature, input, and model drift and support model retraining
- Conduct production-scale performance testing and optimize analytics for large datasets
- Package validated analytics for deployment into secure Government environments
- Support containerized deployment, including dependency management, SBOMs, vulnerability scanning, and release documentation
- Document model assumptions, methodologies, constraints, validation results, and technical configurations
- Incorporate analyst and investigator feedback into model improvement cycles
- Work closely with Morgan 6 technical leadership, data analysts, and Government mission partners
Requirements
What you’ll need- Minimum 5 years of professional experience in data science, machine learning, advanced analytics, or a closely related technical field
- Strong Python development experience
- Demonstrated experience developing, testing, and validating machine-learning or advanced analytic models
- Experience working with large, complex, multi-source datasets
- Experience with statistical analysis, anomaly detection, predictive modeling, or related analytic techniques
- Experience designing and evaluating model performance
- Ability to develop reproducible and auditable analytical workflows
- Strong technical documentation skills
- Ability to explain complex analytical methods and findings to technical and non-technical audiences
- Ability to work independently while collaborating with analysts, engineers, and Government stakeholders
- Ability to obtain and maintain required Government security and system access
- Must be available to start by October 15, 2026
- Must be a U.S. Citizen, Permanent Resident, or Dual Citizen
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Systems, or a related technical field, or equivalent relevant professional experience
- Must meet all Government security, suitability, and system-access requirements associated with the position
Benefits
Comp & perks- Health insurance (medical, dental, vision)
- Voluntary short and long-term disability
- Voluntary additional life insurance
- Sect. 125 dependent care
- Health Savings Account (HSA)
- 401(k) retirement plan with company match
- Paid time off (PTO)
- Professional development opportunities