Aws Govcloud Data Jobs

1 job found

4d ago

Applied Health Data Scientist with advanced analytics experience

innoVet Health, LLC Remote 🌍 Remote

Remote

4d ago

$140k+/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

Applied Health Data Scientist to support national AI initiatives across federal healthcare, with a focus on the Department of Veterans Affairs. Design and evaluate ML and LLM based solutions, build reproducible pipelines, assess data quality, and translate analytical findings into actionable, governance-aware insights.

Responsibilities

Design and deploy end-to-end machine learning pipelines, covering data ingestion, preprocessing, feature engineering, model selection, training, evaluation, and production deployment, with rationale for design choices and tradeoffs.
Perform structured evaluations of LLM and agentic AI approaches, assessing safety, hallucinations, robustness, and suitability for federal healthcare use cases.
Apply statistical and ML methods in Python and SQL to analyze large healthcare datasets and validate use cases.
Create reproducible analyses with version control (git) and experiment tracking (MLflow).
Audit incoming health data sources (EHR, claims, operations) for missingness, inconsistencies, structural issues, and bias; document principled data handling decisions.
Collaborate with data engineering and system owners to improve upstream data quality, metadata, and readiness for AI/ML workloads.
Operate in secure government cloud environments (AWS GovCloud, Azure Government) and distributed compute platforms (Databricks, Spark).
Contribute to federal AI governance activities, including model documentation and risk assessments, with involvement in internal reviews or oversight processes.
Design evaluation plans to support ongoing monitoring, drift detection, and re-validation of AI systems in production.
Ensure work aligns with explainability, fairness, privacy, and evolving federal AI policy, standards, and responsible AI guidance.
Collaborate with VA stakeholders to gather and refine requirements for advanced analytics and AI initiatives.
Translate modeling results into clear visualizations and narratives tailored to technical, clinical, and executive audiences.
Embed AI solutions into existing clinical and operational workflows to minimize burden and maximize adoption.
Manage multiple concurrent projects across VA and other federal health clients, balancing deep technical work with stakeholder engagement and deliverable timelines.
Prepare formal federal deliverables such as technical memos, evaluation reports, model cards, data management plans, and reproducibility documentation.
Develop clear, defensible analyses suitable for audit, external review, and transition into federal environments.

Requirements

Master's degree in Data Science, Statistics, Computer Science, or a related quantitative field.
5+ years of hands-on experience in applied data science or machine learning, with a track record of delivering work in real world, production, or contract environments.
Proficiency in Python and SQL, including comfort with T-SQL and Databricks; R is valued for candidates from research or biostatistics backgrounds.
Experience analyzing large and complex datasets; healthcare data, especially VA healthcare data, is preferred but not required.
Familiarity with distributed computing platforms (Databricks, Spark) and secure government cloud environments (AWS GovCloud, Azure Government), or equivalent commercial cloud experience (AWS, Azure, GCP).
Familiarity with data science and ML lifecycle frameworks (CRISP-DM, OSEMN, TDSP) and the ability to structure work using governance checkpoints and documentation practices.
Exposure to large language models (LLMs) and agentic AI approaches, with the ability to evaluate potential use cases and limitations.
Ability to clearly interpret and present results to both technical and non-technical audiences.
Eligibility to obtain VA suitability and a federal PIV badge; U.S. Citizen or Green Card holder.
No 1099, corp-to-corp, or international outsourcing.

Technologies

Python
SQL, T-SQL
Databricks, Spark
AWS GovCloud, Azure Government, GCP
git, MLflow
R
CRISP-DM, OSEMN, TDSP
LLMs, agentic AI concepts
CI/CD, containerization

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Referral program
Vision insurance

Job Type

Full-time

Pay

From USD 140,000 per year

Application Questions

This position involves government contracts; under Order 11935, U.S. Citizenship or permanent residency is required. Answer 2 if you are a US citizen, 1 if you have a permanent resident card.
Please provide the link to your LinkedIn account.
Please provide the link to your GitHub account.
How many years of experience do you have working on federal contracts?
How many years of experience do you have with building, evaluating, and deploying ML models in production?
How many years of experience do you have in using and evaluating Gen AI and Agentic AI solutions?

Work Location

Remote

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