✦ Luna Orbit — Data & Analytics

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

at Nordstrom

📍 Seattle, WA Hybrid 💰 $121K – $188K USD / year Posted March 13, 2026
Apply Now → ← Browse All Jobs

Position Details

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

About this role

This role involves developing machine learning models and data analysis solutions to improve merchandising and inventory management at Nordstrom.

Key Responsibilities

  • Partner with teams to understand business problems
  • Build and maintain data pipelines
  • Develop scalable machine learning models
  • Perform exploratory data analysis
  • Communicate insights to stakeholders

Technical Overview

Utilizes Python, SQL, data pipelines, and machine learning algorithms to analyze large datasets, build predictive models, and support decision-making processes.

Ideal Candidate

The ideal candidate is a mid-level data scientist with 1+ years of experience in machine learning, data analysis, and SQL. They possess strong coding skills in Python and experience building scalable models to solve merchandising and inventory challenges.

Must-Have Skills

PythonSQLMachine LearningData ScienceStatistics

Nice-to-Have Skills

Machine Learning LibrariesTensorFlowScikit-learnProduction DeploymentOptimization Algorithms

Tools & Platforms

SQLAPIsPythonTensorFlowScikit-learn

Required Skills

PythonSQLMachine LearningData ScienceStatisticsData PipelinesAPIsOptimizationRegressionNeural Networks

Hard Skills

PythonSQLMachine LearningStatisticsData ScienceOptimizationRegressionDecision TreesClusteringNeural NetworksSurvival AnalysisData PipelinesAPIsSQL Datasets

Soft Skills

CommunicationCollaborationProblem-solvingTeamworkAnalytical Thinking

Industry & Role

Industry Retail / E-commerce / Fashion
Job Function Data science and machine learning model development for merchandising and inventory optimization

Keywords for Your Resume

Data ScientistMachine LearningSQLPythonData PipelinesOptimizationRegressionDecision TreesNeural NetworksClusteringSurvival AnalysisStatisticsData ScienceAPIsScikit-learnTensorFlow

Deal Breakers

Lack of experience with SQL and Python, No experience in machine learning or data science, Bachelor's degree not in a technical field, No experience with data pipelines or APIs

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