McKesson · 2 days ago
Lead Data Scientist
Irving, TX
Full-time
Onsite
Senior Level, Lead/Staff
7+ years expMcKesson is a healthcare company seeking a Senior / Lead Data Scientist to drive advanced analytics and machine learning solutions. This role involves collaborating with business stakeholders to translate requirements into technical solutions while ensuring robust model governance and performance benchmarking.
BiopharmaBiotechnologyHealth CareInformation TechnologyPharmaceutical
Hiring Manager
Najat Andreozzi
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, forecasting, classification, recommendation systems, anomaly detection, and NLP/LLM
Develop custom machine learning models and algorithms tailored to business needs. Apply these models 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 benchmarking. Maintain compliance with Responsible AI and data privacy standards
Build and maintain scalable data systems and infrastructure that empower our business teams to make better decisions
Qualification
Required
Bachelors in math, statistics, engineering, or another STEM field or equivalent experience and typically requires 8+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications
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
Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience)
Proven track record working in cross‑functional product/engineering environments
Supervised/unsupervised learning, time‑series, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrieval‑augmented workflows preferred
Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, monitoring/telemetry (e.g., Evidently) and CI/CD
Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and on‑call patterns for ML services
Feature engineering, working knowledge of healthcare/commercial data sets
Demonstrated adherence to enterprise cybersecurity standards and secure development lifecycle for data/ML
Executive storytelling; ability to translate technical results into decisions and outcomes
Preferred
Familiarity with LLMs/NLP and retrieval‑augmented workflows
Benefits
Competitive compensation package
Annual bonus
Long-term incentive opportunities
Company
McKesson
McKesson distributes medical supplies, information technology, and care management products and services.
10001+ employees
H1B Sponsorship
McKesson has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (149)
2024 (129)
2023 (82)
2022 (142)
2021 (144)
2020 (154)
Funding
Current Stage
Public CompanyTotal Funding
unknown1994-11-18IPO
Leadership Team
Brian Tyler
CEO
Jim McAuliffe
CFO
Recent News
2026-01-06
2026-01-03
Seattle TechFlash
2025-12-22
Company data provided by crunchbase