Lead Data Scientist – Commercial Intelligence & ML Operations at Mckesson

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. 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!

Requirements

Must-haves

NewCo Build Job Summary
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
Bachelor’s degree required in a quantitative or technical field with substantial relevant experience

Nice-to-haves

Education Master’s degree preferred in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, Economics, Engineering, or another quantitative discipline
PhD in a quantitative discipline is a plus, but not required
Preferred Qualifications Experience in pricing, revenue management, forecasting, optimization, or commercial analytics
Experience in the healthcare or pharmaceutical industry is a plus.

Application prep

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Keywords to mirror

machine learningmlaipythonsqlaccessibility

Platform: workday
Effort: long