Sr Data Scientist

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride.  Your role at Baxter We are seeking an exceptional Senior Data Scientist to join Baxter’s Enterprise Data Analytics team. This strategic role will help transform business functions through advanced analytics, machine learning, Generative AI, Agentic AI, and data-driven decision-making. As a senior member of the Enterprise Data Science team, you will lead the end-to-end design, development, deployment, and adoption of scalable data science and AI solutions across multiple business domains. You will partner with cross-functional stakeholders to frame high-value opportunities, translate business needs into analytical solutions, and deliver measurable outcomes while promoting responsible AI, engineering excellence, and reusable capabilities. What you’ll be doing Lead the end-to-end lifecycle of advanced analytics, machine learning, Generative AI, and Agentic AI solutions—from opportunity identification and experimentation through production deployment, monitoring, and continuous improvement. Translate ambiguous business problems into well-defined data science hypotheses, solution designs, success metrics, and scalable implementation roadmaps. Develop and maintain advanced predictive /forecasting models for sales, revenue, expense management, and cash-flow forecasting. Design, architect, train, and deploy advanced machine-learning frameworks and traditional time-series models to improve forecast accuracy for sales, revenue, operating expenses, and cash flow. Own model validation, explainability, reliability, documentation, monitoring, and governance in line with responsible AI and regulatory expectations. Provide technical leadership through architecture reviews, code reviews, mentoring, standards definition, and hands-on resolution of complex analytical challenges. Communicate analytical findings, business implications, risks, and recommendations clearly to senior leaders and non-technical stakeholders. Foster a mindset of active learning and innovation by exploring emerging AI technologies and adopting solutions that deliver business value. What you’ll bring Experience