Senior Data Scientist
Required skills
degree or equivalent experience, 7+ years of relevant background, 7+ years of professional experience in progressively senior data science and applied AI/ML roles, strong expertise in forecasting, classification, anomaly detection, risk modeling, and statistical methods, experience working with financial data such as accounts receivable/accounts payable, general ledger, and contracts, proven hands-on experience with Python and SQL, ability to clearly explain model results to non-technical audiences, experience implementing agent workflows and/or LLM-enhanced analytics, exposure to SOX, audit, or financial control environments
Preferred skills
experience in healthcare, life sciences, or complex B2B finance, experience with Power BI or similar business intelligence tools, exposure to ERP or finance systems such as SAP or PeopleSoft
Technologies
AI, Business Intelligence, Cloud, ERP, Support, LLM, Machine Learning, Power BI, Python, SAP, SQL
Responsibilities
lead the design and execution of advanced analytics and AI solutions for selected Oncology & Multispecialty Finance use cases, develop forecasting, anomaly detection, scenario modeling, entity extraction, and agentic workflow models, assess upstream data sources, data quality, and readiness, and engineer features from transactional, contract, and time-series data, apply statistical validation to measure improvement against legacy approaches, partner with machine learning engineering support to prepare models for production and implement monitoring, drift detection, and retraining plans, work with the Technical Product Manager and Lead Data Scientist to define scope, success metrics, and iteration plans, ensure explainability and auditability where needed for finance and SOX contexts, translate business needs into technical model logic, collaborate with Finance subject matter experts to validate assumptions, interpret outputs, and refine solutions based on real-world constraints, build trusted relationships with stakeholders across business teams, data engineering, and executive leadership, resolve issues that arise during user acceptance testing in an organized way, communicate progress, risks, and dependencies to product leadership and escalate when support is needed, create and maintain documentation such as technical specifications, release notes, and user guides
Seniority
Senior
Domain
Oncology & Multispecialty Finance, healthcare, life sciences, complex B2B finance
