Data Scientist – Merchandising & Inventory Machine Learning - Hybrid – Seattle, WA

Nordstrom is a leading fashion retailer, and they are seeking a Data Scientist in the Merchandising & Inventory Machine Learning team. The role involves solving complex merchandising and inventory challenges using machine learning and optimization techniques, analyzing large datasets, building predictive models, and collaborating with cross-functional teams to enhance item performance and customer experiences.

Responsibilities

• Partner with product managers, engineers and other stakeholders to understand business problems and identify opportunities for machine learning applications to optimize item lifecycle performance
• 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, assortment, and pricing optimization
• 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 retail
• 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

Company Overview

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