Supply Chain Machine Learning Data Scientist - Hybrid - Seattle, WA

Nordstrom is a leading fashion retailer, and they are seeking a Data Scientist in their Supply Chain Machine Learning team. The role focuses on solving complex supply chain challenges using machine learning and optimization techniques to enhance operational efficiency and improve customer experiences.

Responsibilities

• 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

Skills

• 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
• 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

Benefits

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more.

Company Overview

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