LocationNew York, New York
Shift:Day (United States of America)
Description:Data Scientist
Position Summary 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.
Required Qualifications - 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
Preferred Qualifications- 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.
Please note that all roles require on-site presence (variable by role). Therefore, all employees should live within a commutable distance to NYP.
NYP will not reimburse for travel expenses.
Salary Range:$74,000-$111,000/Annual
It all begins with you. Our amazing compensation packages start with competitive base pay and include recognition for your experience, education, and licensure. Then we add our amazing benefits, countless opportunities for personal and professional growth and a dynamic environment that embraces every person. Join our team and discover where amazing works.
