Senior Data Scientist

About the position

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.

Responsibilities

• 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.
• 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.
• Implement batch and real-time model scoring to drive actions.
• Develop sophisticated visualization of analysis output for various users.
• Determine 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.
• Full stack developer experience C# or .NET.
• 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.

Benefits

• Medical and dental coverage that start on day one.
• Insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance.
• Employee Stock Purchase Plan (ESPP), with the ability to purchase company stock at a discount.
• 401(k) Retirement Savings Plan (RSP), with options for employee contributions and company matching.
• Flexible Spending Accounts.
• Educational assistance programs.
• Paid holidays and 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.