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Nordstrom

Data Scientist – Merchandising, Inventory, Machine Learning

Nordstrom

Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data-driven solutions for better customer experiences.

Posted 4/18/2026full-timeSeattle • Washington • 🇺🇸 United StatesJunior💰 $121,500 - $188,500 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Medical/Vision, Dental, Retirement and Paid Time Away
  • Life Insurance and Disability
  • Merchandise Discount and EAP Resources

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
machine learningdata analysisstatistical modelingdata pipelinesSQLPythonregressiondecision treesclusteringneural networks
Soft Skills
communicationcollaborationproblem-solvingcreativityindependenceteamwork
Certifications
Bachelor's degreeMaster's degreePhD