Senior Data Scientist, Integrated Supply Chain - Remote position

Baxter

3d•Remote

About The Position

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Baxter Healthcare Corporation offers an outstanding chance to create a real difference in global healthcare. As a Senior Data Scientist in our Coordinated Supply Chain group, you will lead the development of advanced analytics and AI solutions from idea to deployment. This role supports our mission to Save and Sustain Lives with data-driven innovation. The Senior Data Scientist, Integrated Supply chain position is fully remote.

Requirements

Bachelor’s degree in math, statistics, engineering, or a related STEM field, or equivalent experience.
Demonstrated excellent leadership, interpersonal, and critical thinking skills.
Minimum of 5 years related experience in supply chain or equivalent analytical experience.
Proven track record working in cross-functional product/engineering environments.
Minimum 5 years experience in supply chain, or equivalent analytical experience.
Executive storytelling; ability to translate technical results into decisions and outcomes.
Experience/Certifications in analytics tools and frameworks like Python, SQL, Power BI, Tableau, Power Queries, Smartsheets, etc.
Experience in at least two or more relevant domains (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience).
Demonstrated ability to influence decision-making in a cross-functional environment using financial/technical assessments and soft skills.
Critical Thinking & Problem Solving
Communication
Business Insight
Collaboration & Teamwork
Dealing with Ambiguity
Decision Making

Nice To Haves

APICs desirable
Master’s degree or equivalent experience in math, statistics, engineering, or a related STEM area.

Responsibilities

Find opportunities for using company data to drive innovative and scalable machine learning solutions that address complex business challenges.
Develop and implement strategies to improve operational efficiency, automate decision-making, improve customer outcomes, and optimize prioritisation through key insights that enable decision-making.
Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, and recommendation systems.
Develop custom machine learning models and algorithms tailored to business needs, applying these models to large datasets to generate actionable insights and support strategic decision-making.
Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments, ensuring scalability, reliability, and compliance with enterprise standards.
Build and maintain scalable data infrastructure to support both real-time and batch decisioning, bringing to bear cloud-native tools and platforms to optimize performance and cost.
Engage with business collaborators to translate requirements into technical solutions, providing thought leadership and mentorship on analytical approaches and data strategy.
Ensure robust model governance, documentation, and performance benchmarking while maintaining compliance with Responsible AI and data privacy standards.
Establish and maintain business insight communication flows for different levels of the organization.
Define and evaluate Coordinated Business Planning scenarios.
Decide inventory and service-level trade-offs to help drive central initiatives.
Govern planning models and analytics.
Translate analytics into business decisions, framing insights, recommending actions, and quantifying financial or operational impact for executives.