Lead Data Scientist – Supply Chain

Key Skills

A/B Testing, Bayesian networks, C++, Computer Vision (CV), JavaScript, MATLAB Programming, Natural Language Processing (NLP), Neural Networks, Python Programming, R Programming, Random forests, SAS, SVN, VBA

Job Description

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 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 Research 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 demand forecasting and inventory management. The position’s objectives are:

• Lead development of a best-in-class demand forecasting application enhance McKesson’s 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 DevOps of new and existing models, leveraging cloud / open-source technologies

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 & implementation of demand forecasting applications & value-added forecasting framework for supply chain leaders

• 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 optimize decision-making

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:

• 7+ years data science / analytics / programming experience based on combination of industry and academic experience

• Bachelor’s 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). Master’s 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

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 support physical, 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, please click 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

$147,500 - $245,800

McKesson is an Equal Opportunity/Affirmative Action employer.

All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.Qualified applicants will not be disqualified from consideration for employment based upon criminal history.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to Disability_Accommodation@McKesson.com. Resumes or CVs submitted to this email box will not be accepted.

Current employees must apply through the internal career site.