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.

About Us: Baxter's Mission

At Baxter, your work positively impacts millions of patients worldwide. Our products and therapies are used in hospitals, clinics, and homes globally. For over 85 years, we've pioneered medical innovations that transform healthcare. Join us to make a difference and do your best work.

Your Role at Baxter

As a Senior Data Scientist, you'll drive business innovation by bridging business requirements with data. Your expertise in statistics, creativity, and tech-savviness will help unlock data's potential and build new visions. You'll collect, analyze, and interpret data to improve patient care and business efficiency.

Your Team

We optimize technology to save and sustain lives globally. Our capabilities-driven approach focuses on speed, simplicity, and collaboration. We embrace new technologies, build strong relationships, and offer flexible work environments. As a Senior Data Scientist, you'll lead by example, mentor others, and grow your career.

What You'll Be DoingIdentify and integrate datasets for product and process lifecycles.Collaborate with data engineers and IT teams to develop data products.Conduct analytical experiments to solve problems across processes.Develop predictive models and machine-learning algorithms.Test and analyze data models for efficiency.Interpret data trends and patterns for actionable insights.Present findings with clear visuals and concise reports.Improve data collection procedures for analytic systems.What You'll BringBachelor's degree or equivalent experience in Data Science, statistics, or a related field.8 years of experience as a Data Scientist or similar IT role.Mentorship skills for other data scientists.Preferred: 5+ years in Pharma/Medical Device Industry or regulatory environment.Advanced coursework in machine learning and programming.Hands-on experience with data science tools.Technical ProficienciesProgramming Languages: Proficiency in Python and SQL.Statistics: Strong foundation in descriptive, inferential statistics, and regression analysis.Machine Learning: Development of algorithms for supervised and unsupervised learning.Data Wrangling: Cleaning and transforming data using SQL; familiarity with databases like Microsoft SQL, Oracle, Snowflake.Data Visualization: Tools like Tableau, Power BI, Excel, and Python libraries (Matplotlib, Seaborn, ggplot2).Big Data Technologies: Familiarity with Hadoop and Apache Spark.Cloud Services: Experience with AWS, Azure.Natural Language Processing: Text processing using techniques and Python libraries (NLTK, spaCy, Hugging Face Transformer).Nice to HaveExperience working with medical devices.

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.