Related skills
forecasting etl sql python machine learning📋 Description
- Analyze data from multiple databases to improve quality outcomes and risk adjustment.
- Develop custom data models and algorithms for data sets.
- Use predictive modeling to enhance patient outcomes and experiences.
- Explore AI technologies to solve healthcare problems and workflows.
- Develop analytic data sets and use statistical software to analyze data.
- Use third party tools to develop queries and visualizations.
🎯 Requirements
- Bachelor’s degree in data science, statistics, or a related field.
- Hands-on Python coding in ML, data science, and ETL pipelines.
- 5+ years in data analysis software with data science experience preferred.
- 5+ years with GitHub/Git, Python, SQL, statistics, and ML modeling.
- Track record applying AI/ML models to real-world healthcare problems.
- Knowledge of statistical concepts and data mining methods (A/B testing, time series).
🎁 Benefits
- Full health benefits (medical, dental, and vision).
- Flexible spending and health savings accounts.
- Company paid life insurance.
- Company paid short- and long-term disability.
- Company equity.
- 401(k).
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