Job Overview The Senior Data Scientist (DS) will lead the development of advanced analytics and AI solutions to 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 execute the approach for 12 O&M Finance use cases (e.g., Fraud & Risk Management, Financial Controller / Agentic AI, Forecasting, Collections Improvement Analytics). Develop timeseries forecasting models (shortterm, longterm, sparse data), anomaly detection models (transactions, journals, contracts, pricing), scenario modeling for finance decisions, document entity extraction, and agentic workflows. Explore data products and upstream sources, evaluate data readiness and quality issues, and engineer features from transactional, contract, and timeseries data. Apply statistical rigor to validate accuracy improvements against legacy methods. Partner with ML engineering to harden models for production and implement monitoring, drift detection, and retraining strategies. Collaborate 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 realworld constraints. Build strong, trustbased relationships with stakeholders, including business units, data engineering, and executive leadership through highquality work. Understand and resolve issues that arise during UAT in a wellorganized 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 Requirements 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, and statistical modeling. Experience working with financial data (AR/AP, GL, contracts). Clearly demonstrated experience working with Python and 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 LLMaugmented 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 Inoffice requirement; Flex and Connect with 2 days a week in office. Compensation Our Base Pay Range for this position: $89,700 - $149,500. Job Posting Notice 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 recruitingrelated communications with candidates. McKesson job postings are posted on our career site: . #J-18808-Ljbffr
Job Title
Senior Data Scientist