Lead Data Scientist – Commercial Intelligence & ML Operations
Mckesson
Listing collected from Mckesson's career site. NextChapter is independent of Mckesson.
Richmond, VA · Posted October 22, 2026
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Where Richmond, VA ranks
Where Richmond, VA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #5Cities with the most jobs that do not need a four-year degree in the Mid-Atlantic136 jobs · of 47
- #7Best cities for education pay after cost of living$85k · of 8
- #7Best all-round cities for new graduates in the Southeast59 / 100 · of 33
- #9Cities with the most jobs that do not need a four-year degree in the Southeast136 jobs · of 72
- #9Best cities for junior jobs in Virginia35% · of 26
- #10Best all-round cities for new graduates in the Mid-Atlantic58 / 100 · of 37
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing does not state pay. Across 60 open lead data scientist listings that state pay, the middle half runs $152,000 to $185,500 and the median is $171,500.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among data scientists, AI is already used for a large share of the tasks. Measured exposure for data scientists: 46% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Mckesson has filed one layoff notice in the last twelve months, covering 78 workers, most recently February 2026. These are public filings with state labor departments, and an open role can sit alongside them. See the filings
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About the job
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.
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