Sr 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. 

Your Team:

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

Your Role:

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.

What You'll Bring:

• Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field, Master’s Degree preferred.

• Minimum 4 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)

• Brings a drive for creatively applying pragmatic and scalable approaches to Machine Learning to tackle difficult problems affecting patients and providers.

• Passionate about working on a high-performance team toward a multi-year vision with incremental deliverables.

• Entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.

We understand compensation is an important factor as you consider the next step in your career. At Baxter, we are committed to equitable pay for all employees, and we strive to be more transparent with our pay practices. The estimated base salary for this position is $104,000.00 to $143,000.00 annually. The estimated range is meant to reflect an anticipated salary range for the position. We may pay more or less than of the anticipated range based upon market data and other factors, all of which are subject to change. Individual pay is based on upon location, skills and expertise, experience, and other relevant factors. For questions about this, our pay philosophy, and available benefits, please speak to the recruiter if you decide to apply and are selected for an interview.

Equal Employment Opportunity

Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic.

EEO is the Law 
EEO is the law - Poster Supplement
Pay Transparency Policy

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.

Recruitment Fraud Notice

Baxter 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 Recruitment Fraud Notice.