Job Description

This is where you save and sustain livesAt 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.We are looking for a Data Scientist that can grow, solve, drive, and create 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 BaxterData 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
• 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.

The Expertise Were Looking For

• Bachelors Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field, Masters Degree preferred.
• Minimum 2 years of professional experience with a variety of data products / data science model / algorithm development and implementing in production.
• Experience with healthcare data and working in a HIPAA regulated environment preferred.
• Experience with varying database structures and large datasets preferred
• Experience with modern data science tools; their primary stack is Spark, Scala, Python, Databricks, and more. Experience in Microsoft Azure cloud environment is preferred
• Proficiency with developing data visualization technology and capabilities (i.e., Power BI, Tableau)
• Have a passion for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers.
• Are comfortable working on a high-performance team toward a multi-year vision with incremental deliverables.
• Are an entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.

Reasonable AccommodationsBaxter 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 here and let us know the nature of your request along with your contact information.Recruitment Fraud NoticeBaxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our .

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