Senior Data Scientist

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 tomorrows health today we want to hear from you.

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 timeseries 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 nontechnical 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 McKessons 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 pleaseclick here.

Our Base Pay Range for this position

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McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.

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