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Baxter International Inc.

Senior Data Scientist - AI Modeling

Job Posted 10 Days Ago Posted 10 Days Ago
Remote
Hiring Remotely in United States of America
104K-143K Annually
Mid level
Remote
Hiring Remotely in United States of America
104K-143K Annually
Mid level
Develops and implements predictive modeling algorithms, conducts AI research, prepares data, and analyzes healthcare data to improve user experiences.
The summary above was generated by AI

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.

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

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 and generative 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.

  • 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.

  • 4+ years of professional experience with a variety of data products / data science model / algorithm development and implementing in production.

  • Software development experience.

  • 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.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.

US Benefits at Baxter (except for Puerto Rico)

This is where your well-being matters. Baxter offers comprehensive compensation and benefits packages for eligible roles. Our health and well-being benefits include medical and dental coverage that start on day one, as well as insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance. Financial and retirement benefits include the Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount, and the 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching. We also offer Flexible Spending Accounts, educational assistance programs, and time-off benefits such as paid holidays, paid time off ranging from 20 to 35 days based on length of service, family and medical leaves of absence, and paid parental leave. Additional benefits include commuting benefits, the Employee Discount Program, the Employee Assistance Program (EAP), and childcare benefits. Join us and enjoy the competitive compensation and benefits we offer to our employees. For additional information regarding Baxter US Benefits, please speak with your recruiter or visit our Benefits site: Benefits | Baxter

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.

Know Your Rights: Workplace Discrimination is Illegal

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.

Top Skills

Databricks
Azure
Power BI
Python
Scala
Spark
Tableau

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