Data Scientist

About The Company 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. About The Role The Senior Operations Research Scientist role is a vital position within McKesson's Enterprise Data Science Team, specifically within the Operations Research group. The primary responsibility is to architect, develop, and implement advanced simulation and optimization solutions that enhance the efficiency and effectiveness of McKesson's supply chain operations. This role involves working on strategic projects related to inventory optimization, transportation, and network modeling to drive operational excellence. The ideal candidate will leverage data science methodologies and operations research techniques to solve complex interdisciplinary business problems, providing actionable insights and innovative solutions to improve supply chain performance. This position requires a proactive approach to developing statistical models, understanding business needs, and translating analytic outputs into strategic recommendations. The Senior Operations Research Scientist will collaborate with cross-functional teams, influence decision-making processes, and drive adoption of new tools and frameworks that support McKesson's mission to deliver better healthcare outcomes. Qualifications The ideal candidate will possess a minimum of a bachelor's degree in a relevant field such as Operations Research, Data Science, Applied Mathematics, Statistics, or a related discipline, with typically 7+ years of relevant professional experience. Advanced degrees (Master’s or PhD) are preferred. Demonstrated expertise in developing stochastic process simulations and applying optimization techniques in supply chain contexts is essential. Strong proficiency in probability, statistics, and machine learning methods is required, along with experience in data wrangling using SQL and statistical modeling in Python or R. Excellent communication skills are necessary to effectively convey complex results to both technical and non-technical stakeholders. Authorization to work in the U.S. without support from McKesson is mandatory. Responsibilities Architect and develop digital twin models, simulation frameworks, and optimization algorithms to support decision-making in inventory management, transportation logistics, and labor planning within the supply chain. Implement stochastic process simulations to evaluate various operational scenarios and guide strategic decisions. Translate complex simulation and optimization outputs into clear, actionable recommendations for business partners and leadership teams. Collaborate with cross-functional teams to identify opportunities for process improvements and innovative solutions. Drive the adoption of simulation and optimization tools across relevant departments and monitor their impact on operational performance. Continuously learn and apply new analytic techniques, including reinforcement learning and advanced modeling approaches, to enhance existing solutions and develop new ones. Design and develop dashboards, decision support tools, and applications that make model outputs accessible and understandable to business users. Maintain awareness of industry trends and emerging technologies in data science, operations research, and supply chain management. Benefits McKesson offers a comprehensive and competitive total rewards package, including base salary, performance-based bonuses, and long-term incentive opportunities. Our compensation is aligned with market standards and is determined by experience, skills, and performance. In addition to base pay, employees have access to a range of benefits such as health insurance, retirement plans, paid time off, and wellness programs. We prioritize professional growth and development, providing opportunities for training, certifications, and career advancement. Our inclusive work environment encourages collaboration, innovation, and a healthy work-life balance. Equal Opportunity McKesson is an Equal Opportunity Employer that values diversity and inclusion in the workplace. We provide equal employment opportunities to all applicants and employees regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. We are committed to creating a welcoming environment where everyone can thrive. For additional information about our Equal Employment Opportunity policies, please visit our dedicated page. We also support applicants with disabilities and offer reasonable accommodations during the hiring process. If you require assistance, please contact us via email.