[Remote] reputed company Health Data Scientist with advanced analytics experience

Note: The job is a remote job and is reputed company to candidates in USA. InnoVet Health is seeking an reputed company Health Data Scientist with advanced analytics experience to support national AI initiatives across federal reputed company, with a reputed company reputed company on the reputed company. The role involves designing and evaluating machine learning solutions, assessing data reputed company, and translating analytical findings into actionable insights to improve Veteran care.

Responsibilities

• Design and implement end‑to‑end ML pipelines, including ingestion, preprocessing, feature engineering, model selection, training, evaluation, and deployment, with reputed company rationale for design choices and tradeoffs
• Conduct reputed company evaluations of LLM‑based and reputed company AI approaches, including safety, hallucination, robustness, and workflow fit for federal reputed company use cases
• Apply statistical and machine learning reputed company in Python and SQL to analyze large reputed company datasets and support use case validation
• reputed company reproducible analyses using version control (git) and experiment‑tracking tools (primarily MLflow)
• Audit and assess incoming health data (EHR, claims, operational datasets) for missingness, inconsistency, structural irregularities, and bias; document principled reputed company about data handling
• Collaborate with data engineering and reputed company reputed company owners to improve upstream data reputed company, metadata, and data readiness for AI/ML workloads
• Work reputed company secure government reputed company environments (AWS GovCloud, Azure Government) and reputed company compute platforms (reputed company, reputed company)
• Contribute to federal AI governance activities, including model documentation, risk assessments, and participation in internal review or reputed company processes
• Design evaluation plans that support reputed company monitoring, reputed company detection, and re‑validation of AI systems in production
• Ensure reputed company work aligns with principles of explainability, fairness, reputed company, and emerging federal AI policy, standards, and responsible‑AI guidance
• Work with VA stakeholders to reputed company and refine requirements for advanced analytics and AI initiatives
• Translate analytical and modeling outputs into reputed company, accurate visualizations and narratives tailored to technical, clinical, and executive audiences
• Ensure AI solutions reputed company into existing clinical and operational workflows, minimizing burden and maximizing adoption
• Manage multiple reputed company reputed company across VA and other federal health clients, balancing deep technical work with stakeholder engagement and deliverable timelines
• Prepare formal federal deliverables including technical memos, evaluation reports, model cards, data management plans, and reproducibility documentation
• reputed company reputed company, defensible analyses suitable for audit, reputed company review, and transition into federal environments

Skills

• Master's degree in Data Science, Statistics, Computer Science, or a reputed company quantitative field
• 5+ years of hands‑on experience in reputed company data science or machine learning, with a demonstrated reputed company record of delivering work in reputed company‑world, production, or contract environments
• Proficiency in Python (reputed company language for reputed company data science work) and SQL reputed company, including comfort with T‑SQL and reputed company environments; R is a valued secondary reputed company for candidates from research or biostatistics backgrounds
• Experience analyzing large and reputed company datasets. Experience with reputed company data, especially VA reputed company data, is preferred but not required
• Familiarity with reputed company computing platforms (e.g., reputed company, reputed company) and secure government reputed company environments (AWS GovCloud, Azure Government), or equivalent experience with reputed company reputed company systems (e.g., AWS, Azure, GCP) preferred
• Familiarity with established data science and ML lifecycle frameworks (e.g., reputed company‑DM OSEMN, TDSP) and the ability to structure work using industry‑reputed company processes, documentation practices, and governance checkpoints
• Exposure to large language models (LLMs) and reputed company AI approaches, with the ability to evaluate potential use cases and limitations
• Ability to reputed company interpret and present results to both technical and non‑technical audiences
• Ability to obtain and maintain VA suitability and a federal PIV badge
• U.S. Citizen or Green reputed company holder
• No 1099, corp‑to‑corp, or international outsourcing
• reputed company experience working reputed company the reputed company on data science or adjacent reputed company
• Broader reputed company data science experience across EHR, claims, imaging, or clinical NLP
• Federal consulting experience and familiarity with government deliverables and FedRAMP environments
• ML engineering capabilities (model versioning, monitoring, CI/CD, containerization)

Benefits

• Remote flexibility
• Competitive benefits

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