Lead Data Scientist – Supply Chain

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.
Job Description
The Lead Data Scientist, Supply Chain - Operations Research role is responsible for architecting and implementing AI/ML products to enhance the efficiency and effectiveness of McKesson’s supply chain operations as part of a McKesson’s Supply Chain & Operations COE.
Our team applies data science methodologies to interdisciplinary business problems across Operations & Supply Chain. This position will work on strategic in-flight use cases around inventory and working capital management. The position’s objectives are:

Develop stochastic models to facilitate next best actions across Supply Chain
Architect and lead implementation of AI/ML driven operation research frameworks to optimize enterprise inventory management systems
Lead development of enterprise-scale digital twin for inventory management

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

Develop inventory optimization / multi-echelon simulation framework for supply chain
Lead in development of statistical simulation decision frameworks
Develop of AI/ML driven continuous monitoring systems in order to dynamically track McKesson network and continuously identify areas of working capital opportunity
Play a leading role in adding Reinforcement Learning to set dynamic prices & safety stocks

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: 7+ years data science / analytics / programming experience based on combination of industry and academic experience
Education: bachelor’s degree in a technical field such as: Operations Research, Computer Science, Statistics, Applied Mathematics, Engineering or related quantitative / STEM majors. Masters and/or PhD preferred.
Critical Skills

Experience with one or more of optimization toolkits/libraries like CPlex, Gurobi, XPressMP, Open-source solvers (CBC, GLPK) etc
Deep knowledge of statistical methods, advanced modeling techniques, along with optimization & OR techniques
Demonstrated experience with solving enterprise inventory optimization and/or transportation optimization problems
Ability to communicate your results from deeply technical to non-technical audiences
Demonstrated ability to tackle problems across the full data stack, from data wrangling (leveraging SQL or other methodologies) to stakeholder consumption at scale
Deep knowledge of machine learning / data science best practices
Knowledge of statistical programming (SAS, R, MATLAB)
Ability to communicate technical concepts to non-technical audiences
Demonstrated experience with objected 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 Thinking
Team player
Strong verbal and written communication
Knowledge 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 reporting
Prior data mining experience using enterprise systems (SAP or JD Edwards preferred)
Knowledge of data warehousing & ETL best practices is a plus

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, please click here.
Our Base Pay Range for this position
$158,000 - $263,300
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
Join us at McKesson!