Data Scientist

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.

Summary
Join a dynamic team at McKesson where data science meets business strategy. We're seeking a Data Scientist with a strong blend of AI/ML expertise and business acumen to build AI Agents that drive margin expansion and deliver financial savings for our customers. Help move healthcare forward by improving decision-making through data.

What You'll Do

• Design and implement AI Agents to support McKesson's pricing strategies and margin expansion initiatives.

• Collaborate with cross-functional teams including Pricing, Program, Sourcing, Contract Administration, Accounting, Six Sigma, Data Science, and IT.

• Analyze qualitative and quantitative data to develop hypotheses, pilot solutions, and scale successful models.

• Apply AI/ML techniques to uncover market trends, process inefficiencies, and strategic opportunities.

• Build scalable data pipelines and integrate digital data assets.

• Leverage McKesson's data infrastructure to develop next-generation models focused on customer savings.

• Create self-serve decision support tools and parametrized procedures to democratize access to complex analysis.

• Break down complex problems into scalable workstreams and socialize solutions across teams.

• Develop Python APIs for model deployment in web applications.

• Track benefits and operationalize solutions across the organization.

What You Bring

• 2-5 years of experience in analytics or a related field.

• Proven ability to use analytics to create business value.

• Strong Python skills (3+ years) with experience in Scikit-learn and Pandas.

• Solid SQL skills (4+ years).

• Deep understanding of ML algorithms such as clustering, regression, outlier detection, deep learning, and time series analysis.

• Experience with GenAI and Agentic AI.

• Familiarity with RESTful APIs and web development.

• Strong communication skills-verbal, written, and presentation.

• Business acumen and a passion for solving problems with data.

Minimum Requirements

• Degree or equivalent andtypically requires 4+ years ofrelevant experience.

Preferable Skills & Experience

• Bachelor of Science degree / Graduate degree.

• 2-5 years of experience in analytics or a related field.

• Experience in GenAI and Agentic AI.

• Experience working with RESTful APIs.

• Web development experience is a plus.

• Strong desire and ability to use data to solve business problems.

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, pleaseclick here.

Our Base Pay Range for this position

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

Join us at McKesson!