✦ Luna Orbit — Data & Analytics

Product Manager 2, Digital Assets Management - (Hybrid, Seattle)

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 Bachelor's, Master's, or PhD in Statistics, Data Science, Computer Science, Engineering, Operations Research, or related field
Category Data & Analytics

A data scientist role focused on developing machine learning models and algorithms to optimize Nordstrom's supply chain and logistics operations.

  • Partner with stakeholders to identify ML opportunities
  • Build and deploy predictive models
  • Develop data pipelines
  • Optimize supply chain processes
  • Communicate insights to teams

Involves building predictive models, data pipelines, and deploying ML solutions using Python, SQL, and frameworks like TensorFlow and PyTorch.

The ideal candidate is a mid-level data scientist with at least 1 year of experience in machine learning, statistical modeling, and data pipeline development. They are proficient in Python and SQL, with experience deploying models in production environments.

Data ScienceMachine LearningSQLPythonStatistical Modelling
ML deploymentTensorFlowPyTorchOptimization algorithmsProduction environment experience
SQLPythonScikit-learnTensorFlowPyTorch
Data ScienceMachine LearningSQLPythonStatistical ModellingDemand ForecastingOrder FulfillmentLogisticsAPIsData PipelinesScikit-learnTensorFlowPyTorch
Data ScienceMachine LearningSQLPythonStatistical ModellingDemand ForecastingOrder FulfillmentLogisticsAPIsData PipelinesScikit-learnTensorFlowPyTorch
CommunicationCollaborationProblem-solvingAnalytical thinkingTeamwork
Industry Retail / E-commerce / Digital Content
Job Function Design and deploy machine learning models to improve supply chain efficiency
Data ScientistMachine LearningSQLPythonStatistical ModellingDemand ForecastingOrder FulfillmentLogisticsAPIsData PipelinesScikit-learnTensorFlowPyTorch

No experience with SQL or Python, Lack of experience in deploying ML models, Unwilling to work in hybrid onsite 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