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 tomorrow’s 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 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 click here.
Our Base Pay Range for this position
$89,700 - $149,500McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
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 McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
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