Job Description

Salary: $89,700 - 149,500 per year Requirements:

• We typically require a degree or equivalent experience, plus 7+ years of relevant background.
• We look for 7+ years of professional experience in progressively senior data science and applied AI/ML roles.
• We need strong expertise in forecasting, classification, anomaly detection, risk modeling, and statistical methods.
• We expect experience working with financial data such as accounts receivable/accounts payable, general ledger, and contracts.
• We require proven hands-on experience with Python and SQL.
• We value a solid understanding of modern digital architectures, APIs, cloud platforms, data ecosystems, and software development practices.
• We need someone who can clearly explain model results to non-technical audiences.
• We prefer experience implementing agent workflows and/or LLM-enhanced analytics.
• We value exposure to SOX, audit, or financial control environments.
• Prior experience in healthcare, life sciences, or complex B2B finance is an advantage.
• Experience with Power BI or similar business intelligence tools is a plus.
• Exposure to ERP or finance systems such as SAP or PeopleSoft is beneficial.

• We lead the design and execution of advanced analytics and AI solutions for selected Oncology & Multispecialty Finance use cases.
• We develop forecasting, anomaly detection, scenario modeling, entity extraction, and agentic workflow models.
• We assess upstream data sources, data quality, and readiness, and engineer features from transactional, contract, and time-series data.
• We apply statistical validation to measure improvement against legacy approaches.
• We partner with machine learning engineering support to prepare models for production and implement monitoring, drift detection, and retraining plans.
• We work with the Technical Product Manager and Lead Data Scientist to define scope, success metrics, and iteration plans.
• We ensure explainability and auditability where needed for finance and SOX contexts.
• We translate business needs into technical model logic.
• We collaborate with Finance subject matter experts to validate assumptions, interpret outputs, and refine solutions based on real-world constraints.
• We build trusted relationships with stakeholders across business teams, data engineering, and executive leadership.
• We resolve issues that arise during user acceptance testing in an organized way.
• We communicate progress, risks, and dependencies to product leadership and escalate when support is needed.
• We create and maintain documentation such as technical specifications, release notes, and user guides.

• AI
• Business Intelligence
• Cloud
• ERP
• Support
• LLM
• Machine Learning
• Power BI
• Product Manager
• Python
• SAP
• SQL

More:

We are McKesson, an impact-driven Fortune 10 company that helps make quality care more accessible and affordable across healthcare. We foster a culture where people can grow, contribute meaningful work, and bring new ideas forward. This Senior Data Scientist role sits within our Oncology & Multispecialty Finance organization and is focused on delivering advanced analytics and AI solutions that improve decision intelligence, operational efficiency, and risk management. We offer a competitive total rewards package, including base pay, potential bonus or long-term incentive opportunities, and benefits. This position follows a Flex and Connect model with two days per week in the office. We are an equal opportunity employer and welcome applicants from diverse backgrounds, including people with disabilities.

last updated 25 week of 2026

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