Position Description The purpose of this position is to architect, implement, drive adoption, and measure impact of innovative analytic solutions at McKesson, as well as make significant improvements to existing solutions.
Analytic Responsibilities Develop inventory optimization / multi-echelon simulation framework for supply chainSupport Transportation organization's forecasting and optimization needs around route selection and late delivery predictionFully automate existing forecasting solutionsDesign and guide implementation of model variance analysis and impact tracking frameworkLead in deploying statistical models in productionLead in development of statistical simulation decision frameworksOther Responsibilities Support stakeholders' analytic needs, gather user requirements, help drive adoptionCultivate business development opportunitiesAssist in developing and maintaining long-term stakeholder relationships and networksExperience: 5+ years data science / analytics / programming experience based on combination of industry and academic experience
Education: bachelor's degree in a technical field such as: Computer Science, Statistics, Applied Mathematics, Finance, Economics or related quantitative / STEM majors. Masters and/or PhD preferred.
Critical Skills Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scaleDeep knowledge of machine learning / data science best practicesKnowledge of statistical programming (Python, R)Ability to communicate technical concepts to non-technical audiencesDemonstrated experience with object-oriented programming (Python, Java, C#, VBA, etc.)Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc.Additional Knowledge & Skills Analysis/Process ThinkingTeam playerKnowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle)Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks)Proficient with Excel spreadsheets, financial modeling, and reportingPrior data mining experience using enterprise systems (SAP or JD Edwards preferred)Knowledge of data warehousing & ETL best practices is a plusAt McKesson, we care about the well-being of the patients and communities we serve, and that starts with caring for our people. That's why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being.
As part of Total Rewards, we are proud to offer a competitive compensation package at McKesson. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered.
Our Base Pay Range for this position: €68,700 - €114,500
About UsMcKesson 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.
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