Senior Data Scientist

Current Need:

The Senior Data Scientist (DS) will lead the development of advanced analytics and AI solutions that enhance decision intelligence, operational efficiency, and risk management across Oncology & Multispecialty (O&M) Finance. The Sr DS is the core model builder and analytical executor, turning prioritized use cases into working models and insights. This role balances deep technical work with business context, and is critical to delivering fast, credible results.

Key Responsibilities:

Advanced Analytics and AI Execution

• Help define and subsequently execute the approach for 1-2 O&M Finance use cases, e.g., Fraud & Risk Management, Financial Controller / Agentic AI, Forecasting, Collections Improvement Analytics

• Develop time series forecasting models (short-term, long-term, sparse data), anomaly detection models (transactions, journals, contracts, pricing), scenario modeling for finance decisions, document entity extraction, and agentic workflows

• Explore data products and other upstream sources, evaluate data readiness and quality issues, and engineer features from transactional, contract, and time‑series data

• Apply statistical rigor to validate accuracy improvements vs legacy methods

• Partner with ML engineering support to harden models for production, and help implement monitoring, drift detection, and retraining strategies

• Partner with the Technical Product Manager and Lead DS to define scope, success metrics, and solution iteration plans

• Ensure explainability and auditability for finance and SOX contexts where necessary

Stakeholder Engagement

• Translate business requirements into technical models and logic

• Work directly with Finance SMEs to validate assumptions, interpret outputs, and refine models based on real world constraints

• Builds strong, trust-based relationships with stakeholders, including business units, data engineering, and executive leadership through high quality work

• Understand and resolve issues that arise during UAT in a well-organized manner

Communication and Documentation

• Communicate progress, risks, and dependencies to product leadership and seek leadership support where necessary

• Create and maintain product documentation, including technical specs, release notes, and user guides

Minimum Requirement:

Degree or equivalent and typically requires 7+ years of relevant experience

Critical Skills

• 7+ years of professional experience in progressively advancing data science and applied AI/ML roles

• Strong background in forecasting, classification, anomaly detection / risk modeling, statistical modeling

• Experience working with financial data (AR/AP, GL, contracts)

• Clearly demonstrated experience working with Python, SQL

• Solid understanding of modern digital architectures, APIs, cloud platforms, data ecosystems, and software development practices

• Comfortable explaining model outputs to non‑technical audiences

Additional Skills:

• Demonstrated experience implementing Agent workflows and/or LLM-augmented analytics

• Experience supporting SOX, audit, or financial controls

• Prior work in healthcare, life sciences, or complex B2B finance

• Experience with Power BI or similar BI tools

• Exposure to ERP / finance systems (SAP, PeopleSoft, etc.)

Working Conditions:

• In office requirement, we are Flex and Connect with 2 days a week in office

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please

Our Base Pay Range for this position

$89,700 - $149,500

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