THIS IS WHERE YOU SAVE AND SUSTAIN LIVES

At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You’ll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients.
Baxter’s products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare.
Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work.
Join us at the intersection of saving and sustaining lives— where your purpose accelerates our mission.

YOUR ROLE AT BAXTER:

We are looking for a Data Scientist that can grow, tackle, drive, and build data products to support the Connected solutions portfolio within Baxter.

WHAT YOU’LL BE DOING:

• Responsible for the development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems and optimize user experiences
• Conduct in-depth research to stay at the forefront of AI advancements, exploring opportunities to integrate predictive and generative AI models into our products and services.
• Predictive AI Modeling:
• Formulate problem statements and hypotheses for diverse business challenges (clinical, operational and business process optimization problems).
• Create Spark & Python code in Databricks to retrieve data from across disparate data sources and create new innovative actionable insights.
• Prepare data for effective model training.
• Develop, train, and evaluate predictive AI models using various tailored to specific problems.
• Continuously refine and optimize models for performance, scalability, and efficiency.
• Deploy models into production environments and supervise their performance.
• Generative AI Modeling:
• Identify opportunities where generative AI models can add value
• Explore and experiment with generative models (e.g., GPT) suitable for the chosen application.
• Train and evaluate generative models, fine-tuning parameters for desired outputs.
• Integrate generative models into production workflows or applications.
• Work with data-sets of varying degrees of size and complexity including both structured and unstructured data
• Implements batch and real-time model scoring to drive actions
• Develop sophisticated visualization of analysis output for various users
• Determines the continuous improvement opportunities of current predictive modeling algorithms
• Innovate and engage with key technology stakeholders to create a compelling vision of a data-driven enterprise environment and the impact it will have on their teams, their projects and their outcomes.