Data Scientist II
Core
End-to-end delivery of moderately complex analytics, models, and data products to solve business problems in healthcare, supply chain, and operations.
Role type
Mid-level applied data scientist
Builds
Statistical models, forecasting solutions, and data pipelines for business stakeholders
Domain
Healthcare, pharmaceuticals, supply chain, and operations
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, statistics, machine learning, hypothesis testing, data pipeline construction, model deployment and monitoring, version control (Git), data processing libraries (pandas, PySpark)
Preferred skills
Healthcare/pharma/logistics domain expertise, cloud platforms (Databricks, Azure)
Responsibilities
Translate business questions into analytical plans, build and maintain data pipelines, design and deploy statistical/ML solutions, conduct hypothesis-driven analysis, monitor model performance and data drift, communicate findings to stakeholders
Seniority
Mid-level, independent contributor
