Top Healthtech Data Science Jobs in Milwaukee, WI

Reposted One Month AgoSaved
Remote
USA
145K-180K Annually
Senior level
145K-180K Annually
Senior level
Healthtech • Telehealth
Senior individual contributor who drives product analytics, experimentation, and applied modeling. Owns growth and performance analyses, designs experiments with robust statistical evaluation, builds repeatable reporting, and partners with Product, Engineering, Operations, Clinical, and Finance to translate data into actionable product and operational decisions.
Top Skills: BigQueryPandasPythonRedshiftScikit-LearnSnowflakeSQLStatsmodels
One Month AgoSaved
In-Office or Remote
52 Locations
Senior level
Senior level
Big Data • Healthtech • Software • Biotech
Own the member-facing mobile (and near-term signed-in web) product roadmap for AI-powered genomic experiences. Drive activation, engagement, retention, and trust by translating intelligence-layer capabilities into polished consumer UX, rapid prototypes, experiments, and clear PRDs while partnering with AI platform, engineering, bioinformatics, design, and customer success.
Reposted One Month AgoSaved
Remote
US
130K-160K Annually
Mid level
130K-160K Annually
Mid level
Healthtech • Other • Telehealth
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.
Top Skills: Bayesian ModelingLookerMarketing Mix ModelingMulti-Touch AttributionPythonRSQLTableau
Reposted One Month AgoSaved
Remote
USA
177K-230K Annually
Senior level
177K-230K Annually
Senior level
Healthtech • Software
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.
Top Skills: Machine Learning ToolsPythonSQLStatistical Packages
Reposted One Month AgoSaved
Remote
USA
Senior level
Senior level
Healthtech
Senior individual contributor who builds statistical models and experiments to optimize acquisition, conversion, retention, and lifetime value. Partners with Product, Marketing, and Engineering to define data requirements, analyze A/B tests, perform cohort and funnel analyses, communicate findings to stakeholders, and mentor junior team members while contributing to analytics best practices.
Top Skills: AWSAzureGCPGitPythonSQL
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