Data Scientist – Strategy & Analytics (Healthcare/Supply Chain)

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. As a Data Scientist supporting Data Strategy, you will play a critical role in transforming data into actionable insights that inform business strategy and decision-making, while collaborating with cross-functional stakeholders.

Responsibilities:

• Gather and analyze data from multiple sources using statistical methods and visualization tools to identify trends and actionable insights
• Build and deploy predictive models using appropriate machine learning techniques aligned to business objectives
• Support the development of data-driven strategies by translating analytical findings into meaningful business recommendations
• Ensure integrity, accuracy, and reliability of data while partnering with governance teams to maintain compliance and standards
• Partner with cross-functional stakeholders to understand business needs, translate them into scalable analytical solutions, and communicate findings effectively
• Leverage modern analytics platforms and visualization tools; stay current on emerging technologies and share best practices with teams
• Define and track KPIs, analyze performance trends, and recommend optimizations to improve business outcomes
• Identify new data sources and analytical approaches to drive innovation and competitive advantage
• Ensure adherence to data privacy and regulatory requirements, proactively identifying risks and mitigation strategies
• Present complex insights in a clear, actionable manner and apply strategic and tactical thinking to solve business challenges

Requirements:

• Bachelor's degree (or equivalent experience) and typically 4+ years of relevant experience in data analytics, data science, or a related field
• 4+ years of experience in data analysis, visualization, and/or supporting data-driven business environments
• Proficiency in Python, R, or SQL for data analysis and modeling
• Experience with business intelligence tools such as Power BI, Looker, or ThoughtSpot
• Strong expertise in SQL and relational databases (e.g., Snowflake)
• Familiarity with Azure Cloud and Databricks Lakehouse architecture
• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn, Keras)
• Strong foundation in statistical modeling and predictive analytics
• Ability to analyze complex datasets and translate insights into business impact
• Strong critical thinking and problem-solving capabilities
• Excellent verbal and written communication skills, with the ability to present to diverse audiences
• Ability to thrive in a collaborative, fast-paced environment
• Experience in healthcare and/or supply chain environments strongly preferred
• Demonstrated financial acumen with the ability to connect analytics to business and financial outcomes
• Experience working in high-visibility roles with senior stakeholders
• Proven ability to operate with a tactical mindset while driving strategic impact
• Exceptional communication and stakeholder management skills