Data Scientist

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.

Job Description

We are looking for a Data Scientist that can grow, solve, drive, and create & integrate data products to support the Connected solutions portfolio within Baxter. This role is a part of the Innovation, Strategy and Data science team within the Digital Platform and Innovation group responsible for bringing data science and machine learning ideas to life at Baxter

Data Scientist Position – Digital Platforms and Innovation.

• Responsible for the development and implementation of predictive modeling algorithms and techniques to solve 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 monitor 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 through Javascript based frameworks – React/Angular/VueJs etc or using OOPS C#, Java

Reasonable Accommodations

Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information.

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