Senior Data Scientist

About the Role

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…

Key Responsibilities

• 1

  Develop and deploy machine learning models for business problems.

• 2

  Perform exploratory data analysis and feature engineering on large datasets.

• 3

  Evaluate model performance using appropriate metrics and iterate on improvements.

• 4

  Collaborate with product and engineering teams to integrate ML models into production.

• 5

  Monitor model performance and retrain as needed.

• 6

  Write clean, maintainable Python code and document work thoroughly.

• 7

  Stay current with the latest ML research and apply relevant advancements.

Requirements

• Bachelor's/Master's/PhD in Statistics, Mathematics, Computer Science, or related field.
• Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation tools (Pandas, NumPy, SQL).
• Familiarity with cloud ML platforms (SageMaker, Vertex AI, Azure ML).
• Good understanding of statistical modelling and experimental design.
• Strong analytical and communication skills.

Skills Required

How The Selection Process Works

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