Sr. Data Scientist
Core
Design and deploy scalable machine learning solutions to optimize operational efficiency, automate decision-making, and enhance customer outcomes in healthcare and commercial domains.
Role type
Senior hands-on IC data scientist (ML engineering & strategy)
Builds
Production ML models, forecasting systems, recommendation engines, and scalable data infrastructure
Domain
Healthcare + Commercial Analytics
Deliverable
production ML models
Required skills
Supervised/unsupervised learning, time series analysis, causal methods, optimization, Python, SQL, PySpark, Azure ML, MLflow, model registry management, CI/CD pipelines, containerization, cloud cost/performance tuning, feature engineering
Preferred skills
LLMs, NLP, retrieval-augmented workflows, healthcare/commercial dataset experience, executive storytelling
Technologies
Azure, PySpark, MLflow, Git, Python, SQL
Responsibilities
Develop strategies to improve operational efficiency and automate decision-making; design custom ML algorithms for predictive modeling, forecasting, and anomaly detection; partner with cross-functional teams to deploy and monitor models in production; build scalable data infrastructure for real-time and batch decisioning; ensure model governance, documentation, and Responsible AI standards.
Seniority
Senior, hands-on IC with leadership experience
