McKesson is an impact-driven, Fortune 10 company that touches virtuallyevery aspect of healthcare. We are known for delivering insights,products, and services that make quality care more accessible andaffordable. Here, we focus on the health, happiness, and well-being ofyou and those we serve - we care. What you do at McKesson matters. We foster aculture where you can grow, make an impact, and are empowered to bring newideas. 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'shealth today, we want to hear from you.

　　The Data Scientist role will support the development of strategic analyticsolutions focusing primarily on the US Pharma business unit. Our team appliesdecision science methodologies to interdisciplinary business problems acrossFinance, Operations, Accounting, & Supply Chain. This position willwork closely with data scientists on strategic in-flight use cases aroundinventory and working capital management. The position's objectives are:

　　Perform complex financial analysis to address targeted questions regardingworking capital

　　Develop machine learning solutions to support new business initiatives /facilitate next best actions

　　Develop data processing applications, leveraging cloud / open-sourcetechnologies

　　Develop front-end statistical finance applications in RShiny

　　The candidate should possess the ability to perform statistical modellingtechniques and derive business insights that are required to drive analyticinnovation at McKesson. The candidate should also be an active learner able tograsp 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 asmake 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 trackingframework

　　Develop statistical models in production

　　Develop statistical simulation decision frameworks

　　Other Responsibilities:

　　Support stakeholders' analytic needs, gather user requirements, helpdrive adoption

　　Cultivate business development opportunities

　　Assist in developing and maintaining long-term stakeholder relationships andnetworks

　　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 accountingprinciples

　　Demonstrated ability to tackle problems across the full data stack, fromdata wrangling (leveraging SQL or other methodologies) to stakeholderconsumption at scale

　　Strong grasp of fundamental statistical concepts: linear regression, A/Btesting, outlier analysis, probability distributions, tests forindependence, e

　　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, fromdata wrangling (leveraging SQL or other methodologies) to stakeholderconsumption at scale

　　Ability to communicate technical concepts to... For full info followapplication link.