Principal 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 Principal Data Scientist 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 Research COE.

Our team applies data science methodologies to interdisciplinary business problems across Operations & Supply Chain. This position will work on strategic end to end supply chain use case. The positions objectives are:

• Lead development of a best-in-class out-of-stock prediction application enhance McKessons demand sensing capabilities and drive optimal inventory allocations
• Utilize advanced analytics machine learning and predictive modeling to identify trends risks and opportunities within our supply chain
• Lead development of causal inference methodologies to evaluate impact of inventory actions

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 both senior and junior resources.

Responsibilities:

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

• Lead development of AI/ML driven continuous monitoring systems to dynamically track McKesson network and continuously identify areas of working capital opportunity
• Play a leading role in adding Reinforcement Learning optimize decision-making
• Develop inventory optimization / multi-echelon simulation framework for supply chain
  

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
  

Qualifications:

• 10 years data science / analytics / programming experience based on combination of industry and academic experience
• Bachelors degree in a technical field such as: Operations Research Computer Science Statistics Applied Mathematics Economics Engineering or related quantitative / STEM majors (or equivalent work experience). Masters degree and/or PhD preferred.
  

Critical Skills:

• Demonstrated expertise with time series forecasting
• Deep knowledge of statistical methods and advanced modeling techniques (e.g. SVM Random Forest Bayesian inference graph models NLP Computer Vision neural networks etc.) along with the optimization and OR techniques
• 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

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media 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: .

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 .

Join us at McKesson!