Related skills
etl sql python machine learning data scienceπ Description
- Analyze data from multiple databases to improve quality, utilization, and risk.
- Develop custom data models and algorithms for data sets.
- Apply predictive modeling to improve patient outcomes and risk adjustment.
- Explore AI tech to solve healthcare problems and improve workflows.
- Create analytic datasets and analyze with statistical software.
- Coordinate with cross-functional teams to implement models and monitor outcomes.
π― Requirements
- Bachelor's in data science, statistics, epidemiology, engineering, information science, or CS; or equivalent.
- Hands-on Python for ML, data science, engineering, and ETL pipelines.
- 7+ years in data analysis software; data science experience preferred.
- 7+ years with Git, Python, SQL, statistics, and ML modeling.
- Track record applying AI/ML to real-world problems; healthcare preferred.
- Stats and data mining: A/B testing, distributions, Bayesian, regression, GLMs, text mining, time series.
π Benefits
- Healthcare setting experience preferred.
- Epic EMR data experience preferred.
- Healthcare financials/claims experience preferred.
- Full health benefits (medical, dental, vision) for full-time.
- Equity and retirement plans (401(k)).
- Flexible time off and wellness program 'Breathe'.
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