Sr. Data Scientist – Pricing

About the Job

At McKesson, a Fortune 10, impact-driven organization, we play a vital role in nearly every aspect of healthcare. We are committed to delivering insights, products, and services that enhance the accessibility and affordability of quality care. Here, we prioritize your health, happiness, and well-being—because we care.

What you do at McKesson truly matters. We foster a collaborative culture where innovation is encouraged, growth is supported, and your contributions make a measurable impact. Together, we’re shaping the future of healthcare—creating better outcomes for patients, communities, and each other. If you’re ready to help build the health system of tomorrow, we want to hear from you.

Position Overview: Data Scientist

We are seeking a skilled Data Scientist to develop and support cutting-edge analytic solutions that address complex challenges across McKesson’s business units, including Finance, Operations, Accounting, and Supply Chain. This role will closely partner with teams such as Treasury, FP&A, and Pricing to deliver predictive insights and optimize business outcomes.

Key Responsibilities

Analytical & Technical Duties:

• Design, develop, and deploy predictive models for pricing analysis and trend forecasting.

• Apply machine learning algorithms to optimize pricing strategies and business performance.

• Build advanced time series models using techniques like SARIMA, Prophet, Holt-Winters, and Transformers.

• Create statistical simulation and decision frameworks to support strategic planning.

• Architect and implement automated, driverless forecasting systems aligned with best practices in data science.

• Lead production deployment and DevOps of models using modern cloud and open-source tools.

• Design frameworks for model variance analysis and impact measurement.

Stakeholder & Business Collaboration:

• Engage with stakeholders to gather requirements, deliver solutions, and support adoption.

• Translate complex technical findings into actionable business insights.

• Build and maintain long-term relationships with business units to support ongoing analytic initiatives.

• Identify new opportunities to apply data science for improved decision-making.

Minimum Qualifications

• Education: Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Finance, Economics, or a related STEM field required; Master’s or Ph.D. preferred.

• Experience: 5+ years of experience in data science, analytics, or software development within a business context.

Required Skills

• Strong end-to-end data science capabilities—from data wrangling and exploration to model deployment and business communication.

• Proficient in Python or R for statistical programming and machine learning.

• Solid understanding of statistical concepts including linear regression, A/B testing, distributions, and hypothesis testing.

• Skilled in object-oriented programming (e.g., Python, Java, C#, VBA).

• Experience with relational databases (SQL Server, Snowflake, Oracle) and cloud platforms (Azure, AWS, Google Cloud, Databricks).

• Excellent communication skills, with the ability to explain complex data insights to non-technical audiences.

Preferred Skills

• Familiarity with data warehousing and ETL processes.

• Prior experience working with enterprise systems such as SAP or JD Edwards.

• Strong Excel skills, including financial modeling and dashboarding.

• Team-oriented with strong analytical and process-thinking capabilities.

Compensation

McKesson offers a highly competitive compensation package as part of its Total Rewards program. Salary is based on various factors including experience, skills, performance, and location, and is always compliant with applicable regulations and industry standards.

APPLY