✦ Luna Orbit — Data & Analytics

Data Scientist - Digital Data Science - Hybrid - Seattle, WA

at Nordstrom

📍 Seattle, WA Hybrid 💰 $121K – $188K USD / year Posted March 13, 2026
Salary $121K – $188K USD / year
Type Not Specified
Experience entry
Exp. Years Not specified
Education Not specified
Category Data & Analytics

Nordstrom seeks a Data Scientist to develop and evaluate machine learning models for digital customer experience products, focusing on personalization, recommendation, and NLP features.

  • Develop ML models
  • Support data pipelines
  • Evaluate model performance
  • Collaborate with cross-functional teams
  • Support model deployment

Role involves building deep learning models, supporting data pipelines on AWS/GCP, and deploying AI/ML solutions in a cloud environment, with a focus on natural language understanding and recommendation systems.

The ideal candidate is a data scientist with foundational knowledge of deep learning architectures, experience with cloud platforms like AWS or GCP, and strong analytical and communication skills. They should be self-motivated, curious, and capable of supporting AI/ML-powered digital products.

Foundational knowledge of deep learning architecturesSolid analytical skillsExperience with AWS/GCP toolsAbility to communicate data insightsSupport model evaluation and deployment
Transformer-based architecturesA/B testingPost-launch analysisData pipelinesML-powered products
AWSAmazon Web ServicesGCPGoogle Cloud Platform
Machine LearningDeep LearningTransformersNLPAWSGCPPythonData PipelinesModel DeploymentA/B Testing
Machine LearningMLDeep LearningTransformersNatural Language UnderstandingNLPA/B TestingModel EvaluationData PipelinesAWSAmazon Web ServicesGCPGoogle Cloud PlatformPythonData ScienceModel Deployment
CommunicationCollaborationCuriosityProblem-solvingAnalytical Skills
Industry Retail / E-commerce / Fashion
Job Function Develop and support AI/ML-powered digital products for customer engagement
Role Subtype Data Scientist
Tech Domains Python, AWS, Google Cloud Platform, Machine Learning, Deep Learning, Natural Language Processing
Data ScientistMachine LearningDeep LearningTransformersNatural Language UnderstandingNLPA/B TestingAWSAmazon Web ServicesGCPGoogle Cloud PlatformPythonData PipelinesModel DeploymentModel Evaluation

Lack of experience with AWS or GCP, No experience with deep learning architectures, Poor communication skills, No experience supporting model deployment

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