Senior Data Scientist
About The Position
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.
Requirements
- Degree or equivalent and typically requires 7+ years of relevant experience
- 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
Nice To Haves
- 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.)
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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
