Senior/Lead Data Scientist
Core
Drive the full lifecycle of advanced analytics and machine learning solutions from problem framing to production deployment, delivering measurable business outcomes for McKesson's businesses.
Role type
Senior/Lead Data Scientist (Technical Lead)
Builds
Production ML models, scalable data infrastructure, and enterprise model development standards for healthcare and commercial analytics domains.
Domain
Healthcare, Supply Chain, Commercial Analytics
Deliverable
production ML models | product features | infrastructure
Required skills
Supervised/unsupervised learning, time-series forecasting, causal inference, optimization, LLM/NLP, Python, SQL, PySpark, Azure ML, MLflow, model registries, CI/CD, Git, containerization, feature engineering
Preferred skills
Retrieval-augmented workflows, healthcare/commercial data domain expertise, executive storytelling
Technologies
Azure ML, MLflow, Evidently, PySpark, Python, SQL, Git
Responsibilities
Identify opportunities for leveraging company data to drive scalable ML solutions; Develop custom machine learning models and algorithms tailored to business needs; Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production; Build and maintain scalable data infrastructure for real-time and batch decisioning; Engage with business stakeholders to translate requirements into technical solutions; Ensure model governance, documentation, and performance benchmarking
Seniority
Senior, hands-on IC with leadership responsibilities