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.

The Data Scientist role will support the development of strategic analytic solutions focusing primarily on the US Pharma business unit. Our team applies decision science methodologies to interdisciplinary business problems across Finance, Operations, Accounting, & Supply Chain. This position will work closely with data scientists on strategic in-flight use cases around inventory and working capital management. The position’s objectives are:

• Perform complex financial analysis to address targeted questions regarding working capital
• Develop machine learning solutions to support new business initiatives / facilitate next best actions
• Develop data processing applications, leveraging cloud / open-source technologies
• Develop front-end statistical finance applications in RShiny

The candidate should possess the ability to perform statistical modelling techniques and derive business insights that are required to drive analytic innovation at McKesson. The candidate should also be an active learner able to grasp and apply new analytic approaches, as well as mentor junior / developing resources.

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:

• Support FP&A’s need for statistical modeling and forecasting
• Support as needed improvements to the AP & AR Cash Forecasting models
• Fully automate existing forecasting solutions
• Design and guide implementation of model variance analysis and impact tracking framework
• Develop statistical models in production
• Develop statistical simulation decision frameworks

Other Responsibilities:

• Support stakeholders’ analytic needs, gather user requirements, help drive adoption
• Cultivate business development opportunities
• Assist in developing and maintaining long-term stakeholder relationships and networks

Minimum Requirements:

• Experience: 2+ years data science / analytics / programming experience
• Education: BA or BS degree in a technical field such as: Economics, Accounting, Finance, Computer Science, Statistics, Applied Mathematics

Critical Skills:

• Demonstrated understanding of financial statement analysis and cost accounting principles
• Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale
• Strong grasp of fundamental statistical concepts: linear regression, A/B testing, outlier analysis, probability distributions, tests for independence, etc.
• Knowledge of machine learning / data science best practices
• Demonstrated experience data visualization skills (PowerBI, Tableau, RShiny)
• Demonstrated experience with enterprise data, especially ERP systems (SAP, JD Edwards)
• Knowledge of relational databases (e.g. MS SQL Server, Snowflake, Oracle)
• Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale
• Ability to communicate technical concepts to non-technical audiences

Additional Knowledge & Skills:

• Analysis/Process Thinking
• Team player
• Strong verbal and written communication
• Knowledge of / interest in foundational data science methods and models
• Knowledge of statistical programming and fundamental statistical concepts (SAS, R, MATLAB)
• Object-oriented programming experience in one of these languages is a plus: C#, Java, C++, VBA
• Knowledge of cloud computing platforms is a plus (e.g. Azure, AWS, Google Cloud, Databricks)

At 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 supportphysical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse employee population and ensure they are the healthiest versions of themselves. For more information regarding benefits at McKesson, pleaseclick here.

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

$106,400 - $177,400