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Fortune 500 brand, metro location, broad ML/LLM and finance skillset, and popular Data Scientist title.
Requires finance FP&A domain knowledge and healthcare regulatory familiarity, limiting cross-industry transferability.
Explicit 8+ years requirement, mandatory FP&A ML experience and production LLM/ML delivery raise filter strictness.
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Own development and maintenance of advanced predictive models for sales, revenue forecasting, expense management, and cash flow optimization in the finance domain.
Design and implement automated AI-driven modeling and reporting systems, including variance analysis and scenario sensitivity frameworks, to drive strategic financial decisions.
Collaborate with senior leadership and cross-functional teams to translate complex financial data into actionable insights that improve Baxter's financial performance and operational excellence.
Minimum 8+ years of experience in AI/Data Science, with at least 3+ years building AI/ML models for Financial Planning & Analysis or Corporate Finance.
Strong programming skills in Python (NumPy, Pandas, Scikit-learn) and advanced SQL proficiency; experience with cloud platforms (AWS/Azure/GCP/OCI) mandatory.
Bachelor's degree in Computer Science, Information Technology, or related technical field required.
Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday); hands-on experience in deploying forecasting models applied to financial metrics.
Experienced in designing and deploying production-grade AI/ML and Large Language Model (LLM) solutions specifically for finance and FP&A processes within enterprise environments.
Ability to explain complex ML model outputs to non-technical stakeholders, emphasizing transparency and actionable insights in highly regulated healthcare/finance sectors.
Proven record of cross-functional collaboration with finance, IT, and business teams to embed data science solutions that affect strategic financial planning and operations.