Senior/Lead Data Scientist
AI summary of the role
Senior/Lead Data Scientist driving full lifecycle of ML solutions—from problem framing to production—for McKesson's healthcare businesses.
What you’ll do
- Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges.
- Develop custom machine learning models and algorithms tailored to business needs, applying them to large datasets for actionable insights.
- Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance.
- Build and maintain scalable data infrastructure to support real-time and batch decisioning using cloud-native tools.
What you’ll bring
- 7+ years of hands-on data science experience delivering models to production with measurable business impact.
- 4+ years leading projects or small teams as a tech lead.
- Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, and CI/CD.
- Experience in at least two relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).
Technologies
Python · SQL · PySpark · Azure ML · MLflow · CI/CD · Git · containerization · LLM · NLP
About McKesson
Distributes pharmaceuticals and medical supplies to 40,000+ customers including pharmacies, hospitals, and providers; offers specialty oncology, clinical trial, and pharmacy technology solutions globally.
Public · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job Title: Senior/Lead Data Scientist Current Need: The Senior/Lead Data Scientist is responsible for driving the full lifecycle of advanced analytics and machine learning solutions—from problem framing and hypothesis design to production deployment and continuous
More from the job description
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job Title: Senior/Lead Data Scientist Current Need: The Senior/Lead Data Scientist is responsible for driving the full lifecycle of advanced analytics and machine learning solutions—from problem framing and hypothesis design to production deployment and continuous monitoring—delivering measurable business outcomes for McKesson’s businesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, and pioneers innovative analytical approaches that improve operational efficiency and market competitiveness. The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP wh [... source excerpt omitted ...] rks closely with product, engineering, and business teams, champions McKesson’s enterprise model development standards, and upholds the company’s ILEAD leadership principles. Key Responsibilities Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, and optimize resource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, for [... source excerpt omitted ...] dels to large datasets to generate actionable insights and support strategic decision-making Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards Build and maintain scalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms to optimize performance and cost Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy Ensure model governance, documentation, and performance benchmarkin
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