Health Data Scientist Jobs in Wisconsin (NOW HIRING)

• Develop and deploy analytics, machine learning, natural language processing, and AI solutions supporting mission and client objectives
• Develop and enhance generative AI and RAG components using large language models, embeddings, vector databases, retrieval strategies, prompt engineering, and cloud-based AI services
• Evaluate AI-assisted code and analysis, validate sources and assumptions, test outputs, and document material decisions
• Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering, and validation
• Apply statistical methods, predictive modeling, machine learning, and time-series analysis to healthcare, business, and operational challenges
• Develop, test, evaluate, deploy, and monitor AI/ML components for accuracy, reliability, scalability, security, and production performance
• Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or comparable tools
• Partner with clinical, operational, technical, and client stakeholders to gather requirements, define technical approaches, and communicate findings
• Develop and troubleshoot APIs, data services, and AI-enabled application components integrated with enterprise systems and cloud platforms
• Collaborate through Git, code reviews, Agile ticketing, and established development practices
• Produce technical documentation, presentation materials, implementation guidance, and knowledge-transfer artifacts
• Contribute to technical research and continuous improvement

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Health Informatics, Public Health, or a related field
• 2–4 years of experience developing data science, analytics, machine learning, or AI solutions in applied project environments
• Strong proficiency in Python and SQL
• Experience developing and evaluating machine learning models, including feature engineering, train/validation/test design, performance assessment, and error analysis
• Working knowledge of NLP and modern AI concepts, including large language models, embeddings, RAG, prompt engineering, retrieval approaches, and output evaluation
• Experience creating dashboards or visual analytics using Power BI, Tableau, Python, or comparable tools
• Familiarity with API-based solutions and integrating data, machine learning, or AI services into broader applications or enterprise environments
• Experience collaborating in a Git-based team environment using code reviews, Agile tickets, and software development best practices
• Ability to work across notebook-based, browser-based, and local development environments
• Ability to learn unfamiliar technologies quickly, manage competing priorities, and deliver assigned work independently
• Strong communication and problem-solving skills, including proactive status reporting and early escalation of risks and blockers
• Must be a U.S. Citizen
• Must be able to obtain and maintain a SECRET security clearance
• Preferred: experience with Databricks or comparable cloud-based data and AI platforms
• Preferred: experience with AWS services, Amazon Bedrock, Amazon Redshift, or related cloud analytics and AI capabilities
• Preferred: experience with generative AI applications, RAG, recommendation systems, chatbots, or emerging AI technologies
• Preferred: experience implementing automated testing, monitoring, and quality-assurance processes for data science or AI solutions
• Preferred: experience supporting Department of Defense, military or veteran healthcare, federal healthcare, or other public-sector clients

Demonstrates expertise in developing and deploying machine learning and AI solutions, with strong proficiency in Python and SQL. Capable of collaborating with diverse stakeholders to deliver data-driven insights and analytics while ensuring compliance with security requirements.

• Machine Learning Model Development
• Natural Language Processing
• Data Visualization with Power BI
• API Development and Integration
• Agile Software Development Practices

• Python
• SQL
• Machine Learning
• Feature Engineering
• Statistical Methods
• Predictive Modeling
• Time-Series Analysis
• Data Preparation
• Exploratory Data Analysis
• ETL

• Strong Communication
• Problem-Solving
• Proactive Status Reporting
• Risk Management
• Independent Work

• SECRET Security Clearance

• Healthcare Analytics
• Public Health
• Department of Defense
• Veteran Healthcare
• Generative AI

• Power BI
• Tableau
• Git
• Cloud-Based AI Services
• Databricks
• AWS Services