✦ Luna Orbit — Data & Analytics

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

at Nordstrom

📍 Seattle, WA Hybrid 💰 $121K – $188K USD / year Posted March 13, 2026
Salary $121K – $188K USD / year
Type Full-Time
Experience mid
Exp. Years 1+ years
Education Not specified
Category Data & Analytics

A supply chain data science role focused on applying machine learning and optimization techniques to improve logistics and operational efficiency at Nordstrom.

  • Develop ML models for demand forecasting
  • Optimize logistics processes
  • Build data pipelines
  • Collaborate with supply chain teams
  • Communicate insights

Involves building predictive models, data pipelines, and deploying algorithms using Python, SQL, and supply chain analytics tools.

The ideal candidate is a mid-level data scientist or analyst with at least 1 year of experience in machine learning, data analysis, and supply chain logistics. Proficiency in Python and SQL is essential.

Machine LearningData AnalysisPythonSQLDemand Forecasting
DeploymentScikit-learnTensorFlowPyTorchOptimization algorithms
PythonSQLData PipelinesML frameworks
Machine LearningData AnalysisOptimizationPythonSQLDemand ForecastingOrder FulfillmentLogisticsAlgorithmsData Pipelines
Machine LearningData AnalysisOptimizationPythonSQLDemand ForecastingOrder FulfillmentLogisticsAlgorithmsData Pipelines
Problem-solvingCommunicationCollaborationAnalytical thinking
Industry Retail / Supply Chain / Logistics
Job Function Apply machine learning and data analysis to enhance supply chain operations
Machine LearningData AnalysisOptimizationPythonSQLDemand ForecastingOrder FulfillmentLogisticsAlgorithmsData Pipelines

No experience with machine learning or data analysis, Lack of Python or SQL skills, Unwilling to work in hybrid environment

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile