Top Healthtech Data Science Jobs in Milwaukee, WI

As a Senior Data Scientist, you will evaluate and validate AI models, perform statistical analyses, and communicate findings to stakeholders while collaborating cross-functionally.

Lead data science initiatives focusing on healthcare fraud, waste, and abuse. Perform detection analysis, assess trends, and present findings to support decision-making.

This role focuses on utilizing data analysis to support product and go-to-market functions, driving customer acquisition and retention while mentoring junior analysts.

The Lead Data & BI Scientist leads analytical initiatives, drives insight generation, builds predictive models, and partners with business leaders across various departments to create data-driven solutions.

Seeking a Principal Data Scientist to guide AI innovation and develop responsible, interpretable AI systems to improve healthcare outcomes. Lead collaboration with teams to integrate AI into business systems, ensuring compliance and effectiveness in healthcare applications.

The Data Scientist II (RWD) will analyze real-world insurance claims and EHR data, conduct statistical analysis, and develop AI models while collaborating with experts to produce insights and communicate findings.

The Principal Data Scientist will enhance payment accuracy in claims and payment integrity, build robust data pipelines, and collaborate across teams to drive data-driven solutions.

As an AI Analyst, bridge knowledge of healthcare claims and finance with AI initiatives, supporting model translation and analysis of payment integrity and revenue optimization.

The Senior Manager oversees the Data Science team, designing algorithms to improve claim payment accuracy and mitigate fraud within CareSource health plans. Responsibilities include managing data science functions, mentoring team members, and collaborating on innovative analytic solutions to enhance operational efficiency.

The Staff Data Scientist will develop models for balancing patient demand and Registered Dietitian supply, optimize staffing and scheduling, and collaborate with multiple teams for data-driven decision making.