Senior/Staff Machine Learning Data Scientist

🕒 October 22, 2025

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 63%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bayesian Health

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

Healthcare • Artificial Intelligence • Healthcare Insurance

Bayesian Health is a healthcare technology company that focuses on transforming healthcare data into actionable clinical insights through its adaptive AI platform. The platform enables Intelligent Care Augmentation, allowing caregivers to deliver proactive and higher quality care, ultimately resulting in improved patient health outcomes. With a foundation of extensive research in the field, Bayesian Health aims to empower physicians and care teams with real-time data to enhance decision-making and save lives.

📋 Description

• Develop and tune innovative, new ML models and labeler systems based on deep understanding of clinical use cases and state-of-the-art ML methods • Identify strategies for improving our production ML-based systems, and write, debug, and deploy production-grade Python code to implement those strategies • Understand model performance and metrics, and present this to technical and non-technical users, both internally and externally

🎯 Requirements

• Ph.D. in a relevant field plus 3+ years experience shipping ML based software products • Experience owning your ML models from prototyping to production, especially real-time algorithms that update dynamically across time • Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems • Track record of using statistics and performance metrics to compare end-to-end ML and product performance

🏖️ Benefits

• Health insurance • Professional development opportunities