Senior Data Scientist - AI Modeling, Baxter

Baxter

Location:

United States

Category:

Research and Development

Contract Type:

Employment contract

Salary:

104000.00 - 143000.00 USD / Year

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Job Description:

As a Senior Data Scientist - AI Modeling at Baxter, you will work on creating and deploying predictive and generative AI models to optimize user experiences and drive innovation for Baxter's Connected Solutions portfolio. The role will involve model development, data engineering, experimentation with generative models, and collaboration with a high-performance digital innovation team.

Job Responsibility:

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.

Requirements:

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, such as Spark, Scala, Python, Databricks
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.

Nice to have:

Experience with healthcare data and working in a HIPAA regulated environment
Experience with varying database structures and large datasets
Experience in Microsoft Azure cloud environment.

What we offer:

Comprehensive medical and dental coverage starting on day one
Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident
Employee Stock Purchase Plan (ESPP) with discount
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days based on length of service
Family and medical leaves of absence
Paid parental leave
Commuting benefits
Employee Discount Program
Employee Assistance Program (EAP)
Childcare benefits.

Additional Information:

Job Posted:

March 20, 2025

Employment Type:

Fulltime

Work Type:

Remote work

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Senior Data Scientist - AI Modeling