Lead Data Scientist – Commercial Intelligence & ML Operations

McKesson

Richmond, Virginia, United StatesFull-time$155,300–$258,800Posted Oct 22, 2026

About the role

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.

NewCo Build Job Summary

We are seeking a highly skilled and experienced Lead Data Scientist specializing in Pricing Intelligence and Machine Learning Operations to join McKesson Corporation. This role will lead the development and implementation of advanced analytical models and ML solutions to optimize pricing strategies and ensure robust, scalable, and efficient deployment of these models within our operational frameworks.

Key Responsibilities

Develop, maintain, and improve predictive and machine-learning models

Lead advanced analytics initiatives across customer, product, pricing, and commercial domains

Monitor production models for accuracy, reliability, and data quality

Troubleshoot model and data issues across analytical workflows

Establish model validation, testing, monitoring, and governance standards

Translate analytical findings into clear business recommendations

Partner with engineering teams to operationalize models and analytical solutions

Provide technical leadership and mentorship to other data scientists

Support development of optimization, forecasting, recommendation, and AI-driven decisioning capabilities

Required Skills

7+ years of experience in Data Science, Machine Learning, Advanced Analytics, or a related quantitative field

Strong Python and SQL skills

Strong foundation in statistical modeling, machine learning, regression, clustering, and predictive analytics

Experience deploying and supporting models in production environments

Experience working with large-scale datasets and cloud-based analytical platforms

Strong understanding of data pipelines, model inputs/outputs, and data-quality validation

Experience with model monitoring, lifecycle management, and explainability

Strong problem-solving and communication skills

Demonstrated ability to lead technical work and collaborate across business and technology teams

Education

Master’s degree preferred in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline

Bachelor’s degree required in a quantitative or technical field with substantial relevant experience

PhD in a quantitative discipline is a plus, but not required

Preferred Qualifications

Experience in pricing, revenue management, forecasting, optimization, or commercial analytics

Experience with recommendation systems, segmentation, or predictive modeling

Experience with MLOps and production model deployment

Familiarity with Generative AI and modern AI-assisted analytical solutions

Experience supporting business-critical analytical applications

Prior experience mentoring or leading other data scientists

Experience in the healthcare or pharmaceutical industry is a plus.

About MMS

McKesson Medical-Surgical (MMS), which is expected to become Wellverse in early 2027, is a subsidiary and publicly reported segment of the McKesson Corporation. MMS distributes medical-surgical supplies, pharmaceuticals, diagnostic equipment and supplies, along with other solutions and services to virtually every type of healthcare setting and provider outside of the traditional hospital. These markets – often referred to as Alternate Care or Non-Acute Care – include physician offices, surgery centers, long-term care providers, laboratories, home health and hospice agencies, health systems, government facilities and online marketplaces and retailers.

Alternate Care markets are growing rapidly, and MMS is proud to be a leader in this space. With a team of approximately 8,000 employees, a network of 15 distribution centers and approximately 900 delivery vehicles, we collaborate with more than 2,200 leading manufacturers and serve over 200,000 customer accounts across the U.S. Our catalog includes more than 270,000 SKUs of branded and private-label medical-surgical products – from bandages to specialty pharmaceuticals and COVID-19 tests.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.

Our Base Pay Range for this position

$155,300 - $258,800

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:

McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.

McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!

Responsibilities

  • Develop, maintain, and improve predictive and machine-learning models.
  • Lead analytics initiatives across customer, product, pricing, and commercial domains.
  • Monitor production models for accuracy, reliability, and data quality.
  • Establish model validation, testing, monitoring, and governance standards.
  • Translate analytical findings into business recommendations.
  • Partner with engineering teams to operationalize models and analytical solutions.
  • Provide technical leadership and mentorship to data scientists.
  • Support optimization, forecasting, recommendation, and AI-driven decisioning capabilities.

Qualifications

  • 7+ years of experience in data science, machine learning, advanced analytics, or a related quantitative field.
  • Strong Python and SQL skills, with a foundation in statistical modeling, machine learning, regression, clustering, and predictive analytics.
  • Experience deploying and supporting production models and working with large-scale datasets and cloud-based analytical platforms.
  • Knowledge of data pipelines, data-quality validation, model monitoring, lifecycle management, and explainability.
  • Demonstrated technical leadership and ability to collaborate across business and technology teams.
  • Bachelor’s degree in a quantitative or technical field required; a master’s degree preferred and a PhD is a plus.
  • Experience in pricing, revenue management, forecasting, optimization, commercial analytics, MLOps, or healthcare is preferred.

Benefits

  • Competitive compensation package.
  • Annual bonus or long-term incentive opportunities may be offered.

Skills mentioned

PythonSQLData ScienceMachine LearningStatistical ModelingPredictive ModelingMLOpsModel DeploymentModel MonitoringData Pipelines

About McKesson

At McKesson Canada, our vision is to improve care in every setting — one product, one partner, one patient at a time. We partner with hospitals, physicians, pharmacies, nurses, biopharmaceutical manufacturers and others across the spectrum of care to build healthier communities. By helping our partners be as successful as possible, we work together to improve patients’ lives. - Chez McKesson Canada, notre vision est d'améliorer les soins dans tous les contextes — un produit, un partenaire, un patient à la fois. Nous travaillons en partenariat avec des hôpitaux, des médecins, des pharmacies, des infirmières, des fabricants de produits biopharmaceutiques et d'autres dans l'ensemble du système de santé pour bâtir des communautés plus saines. En aidant nos partenaires à avoir le plus de succès possible, nous travaillons ensemble pour améliorer la vie des patients.

Hospitals and Health Care5,001-10,000 employeesSt-Laurent, Qc

H-1B sponsorship history

Historical employer filing data was found for McKesson. The employer record includes 796 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.