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Data Scientist

Role overview

Qualifications

  • Experience designing and evaluating AI/ML solutions in production or enterprise environments
  • Equivalent combination of technical training, certifications, and hands-on experience in data science or machine learning
  • Prior experience supporting federal agency clients or healthcare organizations is preferred
  • Proficiency with AI/ML frameworks and tools (e.g., Python, scikit-learn, TensorFlow, PyTorch)

Responsibilities

  • Design and evaluate AI/ML solution approaches tailored to VA healthcare operations
  • Conduct rigorous assessments of existing and proposed AI/ML models
  • Support the development and implementation of AI governance frameworks, policies, and best practices
  • Collaborate with VA stakeholders, program managers, and subject matter experts to translate operational healthcare challenges into well-scoped AI/ML problem statements

About the company

Aptive Resources logo

Aptive Resources

Business Consulting & Services

Aptive provides expertise in mission support, strategic engagement, health solutions and digital transformation. We support some of the most innovative and inspiring programs across the government, helping to improve performance, connect with people and navigate change. Led by CEO Rachele Cooper, a Navy Veteran and aerospace engineer, Aptive is headquartered in Alexandria, Virginia. Our hundreds of employees across the country are committed to shaping the future as we have for the last decade.Aptive is a Service Disabled Veteran Owned Small Business (SDVOSB) and Woman Owned Small Business (WOSB) headquartered in Alexandria, Virginia.∙ 2022 and 2021 Top Workplace (The Washington Post)∙ 2021 Best Places to Work in Virginia (Virginia Business)∙ 2020 Small Business Government Contractor of the Year (Northern Virginia Chamber of Commerce)∙ 2020 Best Places to Work (Washington Business Journal)∙ 2020 Vet100 Honoree – Institute for Veterans and Families

Company details

Company typeSME
IndustryBusiness Consulting & Services
Company size201 - 500

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Job description

Job Summary:

We are seeking a skilled Data Scientist to support AI Strategy, Governance, and Operations initiatives within the Department of Veterans Affairs (VA) federal healthcare environment. In this role, you will design, evaluate, and assess a variety of AI/ML solution approaches that directly inform how the VA adopts and governs artificial intelligence across its health enterprise. Your work will play a critical role in ensuring that AI/ML technologies deployed in one of the nation's largest integrated healthcare systems are effective, responsible, and aligned with federal standards.

The ideal candidate is a technically rigorous AI/ML professional who thrives at the intersection of data science and strategic governance, bringing both hands-on modeling expertise and the communication skills needed to translate complex findings for non-technical stakeholders. A collaborative, mission-driven working style and comfort operating within federal contracting norms are essential for success in this role.

Primary Responsibilities:

Design and evaluate AI/ML solution approaches tailored to VA healthcare operations, assessing technical feasibility, performance, and alignment with mission objectives.

Conduct rigorous assessments of existing and proposed AI/ML models, including evaluation of accuracy, bias, fairness, and explainability in clinical and operational contexts.

Support the development and implementation of AI governance frameworks, policies, and best practices consistent with federal AI regulations and VA-specific guidance.

Collaborate with VA stakeholders, program managers, and subject matter experts to translate operational healthcare challenges into well-scoped AI/ML problem statements and solution roadmaps.

Document technical findings, model evaluation results, and strategic recommendations in clear written deliverables suitable for both technical and executive audiences.

Monitor emerging AI/ML trends, tools, and federal policy developments to provide informed recommendations that keep VA's AI strategy current, compliant, and competitive.

Minimum Qualifications:

Demonstrated experience designing and evaluating AI/ML solutions in production or enterprise environments, with a strong portfolio of applied machine learning work across the full model development lifecycle.

No minimum education requirement specified; equivalent combination of technical training, certifications, and hands-on experience in data science or machine learning will be considered.

Prior experience supporting federal agency clients or healthcare organizations is preferred; familiarity with VA systems, federal AI policy (e.g., EO 13960, OMB AI guidance), or HHS/CMS data environments is a plus.

Ability to obtain and maintain VA network access and a Position of Public Trust designation as required; must be able to satisfy VA background investigation requirements prior to onboarding.

Must be authorized to work in the United States; this position does not offer visa sponsorship.

Proficiency with AI/ML frameworks and tools (e.g., Python, scikit-learn, TensorFlow, PyTorch) and experience working with structured and unstructured healthcare datasets, including EHR data or claims data.

Desired Qualifications:

• Experience with AI/ML governance, responsible AI frameworks, or model risk management in a regulated industry such as federal healthcare or finance. • Familiarity with VA or federal health data standards, including HL7 FHIR, ICD-10 coding, or Veterans health records systems. • Knowledge of federal AI policy and compliance requirements, including NIST AI Risk Management Framework (AI RMF) or related standards. • Experience communicating AI/ML findings and recommendations to non-technical senior leadership or federal program offices. • Background in NLP, computer vision, or predictive analytics applied to clinical workflows, population health, or healthcare operations.

About Aptive:

About Aptive. Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.

EEO Statement:

Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply. About Aptive: Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.

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