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 tomorrows 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 McKessons supply chain operations as part of a McKessons 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 positions 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: bachelors 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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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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 McKessons 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 .

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