Top Healthtech Data Science Jobs in Milwaukee, WI

The Senior Data Scientist will build models and analyses, design experiments, integrate datasets, and leverage AI for improved workflows and insights in data science.

Design, validate, and deploy predictive models using claims, clinical, pharmacy, and lab data to improve population health, utilization management, and care quality. Partner with clinical and business teams, evaluate model performance, scale analytical approaches, and communicate insights to technical and non-technical stakeholders.

Identify and evaluate AI opportunities by analyzing large healthcare datasets, assessing value vs. feasibility, uncovering inefficiencies, and translating insights into actionable recommendations. Collaborate with stakeholders to prioritize use cases, contribute to AI project roadmaps and design specifications, and present findings to operational and technical audiences to drive implementation and ROI.

Lead research and development of longitudinal health trajectory models and next-best-action decision algorithms. Translate member data into deployable, clinically meaningful models, set evaluation standards, mentor scientists, and collaborate with product, engineering, and clinical teams to productionize and monitor ML solutions that optimize interventions and health outcomes.

The Data Scientist will build predictive models, drive forecasting, design experiments, and translate findings for stakeholders, optimizing healthcare operations.

Use statistical and causal inference methods to build, implement, and monitor marketing models (Bayesian MMM, multi-touch attribution), analyze A/B and uplift tests, partner with marketing to test and drive data-informed decisions from large web-product datasets.

The Senior Director, Analytics Services leads analytics delivery, manages customer strategies, and integrates AI solutions while driving team performance and operational excellence in healthcare analytics.

Build and own a versioned, documented gold data layer from silver Lakehouse sources for AI research. Transform, validate, and curate multi-modal datasets, build reusable Databricks/PySpark pipelines, automate quality and labeling, support researcher workflows, and maintain lineage and dataset snapshots for model development and evaluation.

Design and build predictive models, AI tools, and data visualizations for CMS healthcare initiatives. Analyze quantitative and qualitative data (Medicare claims, public datasets, web analytics), perform feature engineering, anomaly detection, and provide insights to support product design and price-transparency tools. Collaborate with designers, product owners, and engineers in an agile environment.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.