Senior Data Scientist

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Aptive Resources

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2012

🎖️ Defense

📦 Logistics

📣 Marketing

Defense • Logistics • Marketing

Aptive Resources is a management consulting firm based in Alexandria, Virginia, specializing in providing innovative solutions to federal government agencies, particularly in veteran and civilian health sectors. With a strong focus on performance optimization, human capital, and data analytics, Aptive aims to improve the quality and accessibility of health care services for veterans and the general public. The company utilizes technology and human-centered services to bridge divides and enhance public service delivery for multiple agencies, including Veterans Affairs, Defense, and others.

📋 Description

• Lead the end-to-end design, configuration, and continuous optimization of the VHA AI Education Hub platform • Develop, configure, and maintain the AI learning assistant and sandbox environment • Apply supervised, unsupervised, and reinforcement learning techniques to healthcare-domain data models • Work with synthetic data models and patient cohorts while protecting Veteran data privacy • Architect and manage integrations with VA learning management systems, intranet platforms, and enterprise data environments • Design, analyze, and validate healthcare-specific data models in cloud-based analytic environments • Apply best practices for data quality, lineage, and governance • Collaborate with VA stakeholders, contracting officers, and cross-functional technical teams • Translate program requirements into actionable data science deliverables • Author technical documentation • Present findings and platform performance metrics to government leadership

🎯 Requirements

• Minimum 8 years of professional experience in data science, machine learning, or a closely related quantitative discipline • Master's Degree in Statistics, Mathematics, Computer Science, Data Science, or a related field from an accredited institution required • Experience applying machine learning techniques in complex, data-rich environments • Prior experience supporting federal government agencies or large healthcare organizations • Working knowledge of federal IT policies, data governance frameworks, and health data standards such as HL7 and FHIR • Ability to obtain and maintain a VA Position of Public Trust clearance (Tier 2 / MBI) • Must be authorized to work in the United States; this position does not offer visa sponsorship • Hands-on experience with cloud-based analytic platforms such as AWS GovCloud or Microsoft Azure Government • Experience deploying machine learning models, managing synthetic data environments, and configuring platform integrations in secured, policy-governed cloud settings • Experience with supervised, unsupervised, and reinforcement learning techniques • Ability to work with healthcare data models, synthetic data, patient cohorts, data quality, data lineage, and data governance

🏖️ Benefits

• Ability to obtain and maintain a VA Position of Public Trust clearance (Tier 2 / MBI) • Current clearance or prior VA system access eligibility strongly preferred • Equal opportunity employer • Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply