Senior Data Scientist – Operations Research

Key Skills

A/B Testing, Agile methodologies, Analytical and Problem solving, AWS, Azure, C++, Data science techniques, Data Warehousing, Databricks, ETL frameworks, Google Cloud Platform (GCP), Gurobi, IBM CPLEX, JavaScript, Machine learning techniques, MATLAB Programming, Oracle, Python Programming, R Programming, SAP, SAS, Snowflake, SQL, SQL Server, 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 Senior Data Scientist – Operations Research role is responsible for developing 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 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

• Support development of enterprise scale digital twins 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.

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

• Develop inventory optimization / multi-echelon simulation framework for supply chain

• Support 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

Qualifications:

• 5+ years of 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, Engineering or related quantitative / STEM majors (or equivalent work experience). Master’s degree 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

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

$127,400 - $212,300

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.