> Markdown version of [/jobs/ext/3002013-sr-data-scientist](https://www.wearedevelopers.com/jobs/ext/3002013-sr-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Data Scientist - **Company:** Aptive Environmental, LLC - **Location:** Alexandria, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Clinical Data Repository, Data Governance, Data Infrastructure, Machine Learning, Fast Healthcare Interoperability Resources, Electronic Medical Records, Information Technology, Data Pipelines - **Published:** September 19, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pl4ov7ffrr ## About the Role * Minimum 8 years of hands-on experience in data science, applied machine learning, or a closely related quantitative discipline, with demonstrated expertise in healthcare or life sciences data environments. * Master's Degree (required) in Statistics, Mathematics, Computer Science, Data Science, or a related field from an accredited institution; PhD preferred. * Previous experience working with federal agencies, preferably the Department of Veterans Affairs (VA) or other federal healthcare clients such as CMS, NIH, DoD, or HHS, with familiarity of federal data governance and compliance frameworks. * Ability to obtain and maintain a VA Position of Public Trust (Medium Background Investigation) or equivalent federal security clearance as required by the contract; active clearance or PIV eligibility preferred. * Must be authorized to work in the United States; this position does not offer visa sponsorship. * Demonstrated experience developing and analyzing healthcare-specific data models and patient cohorts, including familiarity with clinical data standards such as HL7 FHIR, ICD-10, CPT coding, and EHR-sourced datasets. ## Description The ideal candidate is a self-directed, collaborative problem-solver who thrives in complex, matrixed federal environments and can translate sophisticated data science concepts into actionable insights for both technical and non-technical stakeholders. You bring deep intellectual curiosity about healthcare data, a commitment to responsible AI practices, and the ability to mentor and guide citizen developers as they build and scale AI solutions., * Lead technical support and advisory services for VHA AI Citizen Developers, guiding the design, development, and deployment of machine learning models and AI-driven solutions within the Veterans Health Administration ecosystem. * Apply supervised, unsupervised, and reinforcement learning techniques to build and validate predictive models and analytical pipelines tailored to healthcare-specific use cases, including clinical decision support and population health management. * Develop, maintain, and analyze synthetic data models and cohorts that protect Veteran data privacy while enabling robust model training, testing, and validation activities across VHA programs. * Architect and execute data science workflows within cloud-based analytic environments (e.g., AWS GovCloud, Microsoft Azure Government), ensuring scalability, security compliance, and alignment with VA data governance standards. * Collaborate with cross-functional teams-including VHA program offices, data engineers, and IT stakeholders-to define requirements, interpret analytical results, and translate findings into strategic recommendations that support AI/ML project objectives. * Contribute to the documentation, peer review, and continuous improvement of AI/ML methodologies, model performance metrics, and data quality standards, ensuring solutions meet federal regulatory requirements and VA enterprise AI policies. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Unlocking Value from Data: The Key to Smarter Business Decisions-](https://www.wearedevelopers.com/videos/1367-unlocking-value-from-data-the-key-to-smarter-business-decisions) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)