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Supply Chain Machine Learning Data Scientist

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Nordstrom

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Location:
United States of America , Seattle

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

121500.00 - 188500.00 USD / Year
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Job Description:

As a Data Scientist in Supply Chain Machine Learning team at Nordstrom, you will work on solving complex supply chain challenges using machine learning and optimization techniques to enhance operational efficiency and deliver exceptional customer experiences. Your focus will be on analyzing large datasets, building predictive models, and developing algorithms to support decision making in all facets of Nordstrom’s supply chain, such as demand forecasting, order fulfilment and logistics. You will collaborate with cross-functional team (other data scientists, software engineers, product teams and supply chain operations) to design, implement and deploy innovative, robust and scalable solutions.

Job Responsibility:

  • Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize Nordstrom’s supply chain and customer experience
  • Perform exploratory data analysis and statistical modelling to extract actionable insights from large and complex datasets
  • Build and maintain robust data pipelines to process, clean and transform data from diverse sources (e.g. SQL datasets, APIs, flat files)
  • Design, develop and implement scalable and production-ready machine learning models / optimization algorithms for areas such as demand forecasting, order fulfillment, operational efficiency
  • Implement robust evaluation and monitoring to validate the performance and reliability of machine learning models
  • Communicate complex findings, insights and trade-offs to technical and non-technical stakeholders

Requirements:

  • Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Engineering, Operations Research, or a related technical field
  • or Equivalent related professional experience.
  • Minimum 1 years hands-on experience in Data Science or Machine Learning roles
  • Minimum 1 years of professional SQL experience, performing advanced queries and optimization techniques
  • Proficient coding skills in Python, with experience writing clean, maintainable, and optimized ML code
  • Experience applying statistical and machine learning algorithms, such as regression, decision trees, clustering, neural networks, survival analysis, along with model evaluation techniques
  • A passion for solving complex problems with creative approaches.
  • Strong communication and collaboration skills, with the ability to work both independently and as part of a team

Nice to have:

  • Experience developing and deploying machine learning models in production environments
  • Familiarity with machine learning libraries/frameworks such as Scikit-learn, TensorFlow, and PyTorch
  • Curiosity to understand business processes and identify opportunities for innovation and improvement using data-driven approaches
  • Exposure to cloud-based ML infrastructure and data pipelines (e.g., AWS, GCP, Azure)
  • Knowledge and experience in supply chain
  • Motivation to stay current with advancements in data science and machine learning technologies
What we offer:
  • Medical/Vision, Dental, Retirement and Paid Time Away
  • Life Insurance and Disability
  • Merchandise Discount and EAP Resources
  • 401k
  • Holidays

Additional Information:

Job Posted:
January 07, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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