Data Scientist - Healthcare ( Hybrid / New York Metro )
New York, New York, United States
R
USD 110K-170K (estimate) Mid-level Full Time
Tasks
- Apply emerging methods for healthcare analytics
- Build and maintain analytical models
- Build regression models
- Compute distribution based performance metrics
- Design and execute ad-hoc analyses
- Develop cohort analyses
- Develop funnel decompositions
- Develop survival curves
- Develop visualizations
- Draft analytical narratives
- Evolve analytical framework
- Frame findings as hypotheses
- Identify trends anomalies and comparative differentials
- Maintain documentation of methodologies and data transformations
- Maintain reproducible code
- Partner on data governance remediation
- Prepare quarterly business review materials
- Produce client ready analytical exhibits
- Prototype insight focused dashboards
- Support client meetings with technical insights
- Surface upstream data quality issues
Perks/Benefits
- 401k match
- Background check required
- Collaborative culture
- Dental insurance
- Life insurance
- Medical insurance
- Opportunity to impact patient outcomes
- Short-term Disability Insurance
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | B testing | Cohort Analysis | Dashboard Development | Data Quality | Data Quality Management | Data Transformation | Data Visualization | Distribution based metrics | Experimental Design | Funnel Decomposition | Machine Learning | NumPy | Pandas | Python | Quality management | Regression Modeling | SQL | SciPy | Scikit-learn | Snowflake | Statistical modeling | Survival analysis
Education
Roles
Regions
Countries
States
Cities
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