Data Scientist

Aptive Resources

Data Scientist evaluating AI/ML solutions and governance for the Department of Veterans Affairs healthcare enterprise. Translating model findings into responsible, compliant strategies at federal consulting firm Aptive.

Posted 8/5/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and evaluating AI/ML solutions tailored to healthcare operations, with a strong focus on model development, governance frameworks, and compliance with federal policies. Proficient in communicating technical findings to diverse audiences and adapting AI strategies to emerging trends.

Highest-signal resume keywords

AI/ML Solution DesignPython ProficiencyModel Development LifecycleAI Governance FrameworksHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Solution DesignModel EvaluationData AnalysisNLPComputer VisionPredictive AnalyticsBias AssessmentExplainabilityRisk ManagementFramework Development

Soft Skills

CollaborationCommunicationStrategic ThinkingProblem SolvingDocumentation

Tools & Technologies

Scikit-learnTensorFlowPyTorchHL7 FHIREHR SystemsClaims Data

Certifications & Qualifications

Position of Public Trust

Industry Keywords

VA HealthcareFederal AI PolicyHHS/CMS DataNIST AI Risk Management FrameworkVeterans Health Records

Tech Stack

Tools & technologies

PythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Design and evaluate AI/ML solution approaches tailored to VA healthcare operations
Assess technical feasibility, performance, and alignment with mission objectives
Conduct rigorous assessments of existing and proposed AI/ML models, including accuracy, bias, fairness, and explainability
Support development and implementation of AI governance frameworks, policies, and best practices
Collaborate with VA stakeholders, program managers, and subject matter experts to define AI/ML problem statements and solution roadmaps
Document technical findings, model evaluation results, and strategic recommendations for technical and executive audiences
Monitor emerging AI/ML trends, tools, and federal policy developments
Provide recommendations to keep VA's AI strategy current, compliant, and competitive

Requirements

What you’ll need

Demonstrated experience designing and evaluating AI/ML solutions in production or enterprise environments
Strong portfolio of applied machine learning work across the full model development lifecycle
Ability to obtain and maintain VA network access and a Position of Public Trust designation as required
Ability to satisfy VA background investigation requirements prior to onboarding
Must be authorized to work in the United States
No visa sponsorship available
Proficiency with AI/ML frameworks and tools such as Python, scikit-learn, TensorFlow, and PyTorch
Experience working with structured and unstructured healthcare datasets, including EHR or claims data
Prior federal agency or healthcare organization experience preferred
Familiarity with VA systems, federal AI policy, or HHS/CMS data environments is a plus
Experience with AI/ML governance, responsible AI frameworks, or model risk management desired
Familiarity with HL7 FHIR, ICD-10 coding, or Veterans health records systems desired
Knowledge of NIST AI Risk Management Framework or related standards desired
Experience communicating AI/ML findings to non-technical senior leadership or federal program offices desired
Background in NLP, computer vision, or predictive analytics applied to healthcare desired

Benefits

Comp & perks

Equal opportunity employer
Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply
Ability to obtain and maintain VA network access and a Position of Public Trust designation as required