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# Data Scientist

- **Company:** NewYork-Presbyterian Hospital
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $74,000.0 - $111,000.0
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, R (Programming Language), Python (Programming Language), Machine Learning, Standard Sql, Machine Learning Operations
- **Published:** July 9, 2026
- **Apply:** https://nyp.wd1.myworkdayjobs.com/nypcareers/job/NYPWeill-Cornell-Medical-Center/Data-Scientist_00884077-1/apply

## About the Role

* Bachelor's or Master's degree in a quantitative field (or equivalent experience)
 * Strong Python/R programming and SQL skills
 * 3+ years of experience building and validating ML models
 * Experience with ML pipelines and experiment tracking
 * Working knowledge of HIPAA and PHI handling requirements
 * Strong documentation practices and commitment to reproducibility, * Experience with NLP (including transformers), time-series, or survival analysis
 * Experience with machine learning in cloud infrastructure or platforms (Azure, Google, AWS etc)
 * Strong experience analyzing and deriving insights from complex healthcare data, including EHR and claims.

Join a healthcare system where employee engagement is at an all-time high. Here we foster a culture of respect, belonging, and inclusion. Enjoy comprehensive and competitive benefits that support you and your family in every aspect of life. Start your life-changing journey today.

Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.

## Description

The Data Scientist builds, validates, and supports the deployment of models for defined business problems. This role works closely with stakeholders to ensure models are safe, interpretable, and aligned with organizational goals, and operates with increasing independence across the full modeling lifecycle.

Essential Job Duties

Engineer high-quality features and train, validate, and iterate on ML models

Conduct error analysis, fairness checks, and bias detection

Package models for deployment in collaboration with MLOps teams

Monitor model performance in production and respond to drift

Translate stakeholder needs into measurable modeling requirements

Document modeling decisions and maintain reproducible workflows

Collaborate across teams to ensure models drive meaningful outcomes

Performs other special projects and duties as assigned.


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