Data Scientist II
Core
Designing and validating predictive models, machine learning models, and AI to inform and improve business processes across operational, clinical, financial, and marketing domains.
Role type
Data Scientist II
Builds
End-to-end model pipelines and deliverables for business consumption
Domain
Healthcare analytics and predictive modeling
Deliverable
production ML models
Required skills
SQL, Python, R, statistical analysis, predictive modeling, machine learning algorithms, feature engineering, exploratory data analysis, optimization techniques, cloud services (Azure, AWS, GCP), modern data stack (Databricks, Snowflake)
Preferred skills
Power BI, healthcare experience
Technologies
Azure, AWS, GCP, Databricks, Snowflake, Power BI, MS Office
Responsibilities
Create and maintain analytical plans, mine and analyze large structured and unstructured datasets, develop algorithms for risk prediction and outlier detection, develop visualizations to demonstrate algorithm efficacy, provide statistical validation of clinical programs, collaborate to integrate with existing solutions, prepare code for operationalization of model pipelines
Seniority
Mid-level, hands-on IC
