Lead Data Scientist (FBL/RCA)

Requirements:

• We need a bachelors degree or an equivalent mix of education and experience; an advanced degree is strongly preferred.
• We typically look for 10+ years of professional experience designing and deploying enterprise-scale data science solutions, although fewer years may be considered with a relevant masters or doctorate.
• We expect experience leading teams, mentoring talent, and offering technical direction on high-impact initiatives.
• We require expertise in model deployment patterns, including batch and streaming approaches, as well as scalable scoring solutions.
• We need strong capability in model evaluation frameworks, champion-challenger testing, and lifecycle metrics.
• We expect experience with model interpretability to support governance and audit needs.
• We require proficiency in predictive modeling across a range of business use cases under production constraints.
• We value advanced knowledge of synthetic data generation for augmentation and privacy-preserving applications.
• We need strong business acumen and the ability to convert analytical findings into practical recommendations.
• We expect the ability to lead the design and development of advanced analytics solutions across teams.
• We need the ability to guide and mentor junior data scientists to support high-quality delivery.

Responsibilities:

• We lead the design, development, and deployment of advanced predictive analytics and machine learning models to solve complex business and IT challenges.
• We oversee the integration and preparation of large datasets, architect specialized databases, and manage computing environments for data science work.
• We provide technical guidance and mentorship to data science team members, ensuring best practices in modeling, automation, and visualization.
• We direct the creation and presentation of data visualizations, dashboards, and analytical findings for leadership, IT, and business stakeholders.
• We collaborate with engineering and service management teams to align data science solutions with business needs and coordinate resources for successful delivery.
• We communicate predictions and insights to leadership and recommend effective changes to procedures, processes, and strategies.
• We present findings and recommendations to leadership to support enterprise-wide data-driven decision-making.
• We drive adoption of emerging technologies and innovative approaches to strengthen our data science capabilities.

Technologies:

• Architect
• Support
• Machine Learning
• LESS

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McKesson is an impact-driven Fortune 10 healthcare company focused on making quality care more accessible and affordable through insights, products, and services. We foster a culture where you can grow, make an impact, and help shape the future of health for patients, our communities, and our people. This Data Scientist - Level 5 role is a strategic position within a regulated environment, partnering with engineering, service teams, and business stakeholders to advance enterprise data science capabilities. We offer a competitive Total Rewards package, including a base pay range of $122,100 to $162,800, and may provide additional compensation such as an annual bonus or long-term incentive opportunities. We are an equal opportunity employer committed to inclusive employment opportunities and reasonable accommodations.

last updated 43 week of 2026