✦ Luna Orbit — Data & Analytics

Data Scientist

at Skechers U.S.A.

Hybrid 💰 $93K – $130K USD / year Posted March 13, 2026
Salary $93K – $130K USD / year
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves developing advanced analytics solutions using data science, AI, and machine learning techniques to support business decision-making and product development.

  • Build ML models
  • Deploy and monitor models
  • Collaborate with data engineers
  • Develop analytics reports
  • Implement AI solutions

Focus on building and deploying machine learning models, working with large language models, retrieval augmented generation frameworks, and maintaining model performance.

The ideal candidate is a data scientist with strong expertise in AI and machine learning, capable of building end-to-end analytics solutions, deploying models, and working with large language models and retrieval frameworks.

Building advanced analytics solutionsData scienceAIML techniquesDeveloping data science applicationsBuilding and deploying machine learning modelsCollaborating with data engineers
Large language modelsRetrieval augmented generation frameworksModel drift and bias monitoringExperimentation and A/B testingCausal inference
PythonSQLLarge language modelsML frameworks
Building advanced analytics solutions utilizing data scienceAIMLdeveloping data science applicationsdeploying and monitoring modelscollaborating with data engineers
Data scienceAIMachine learningStatistical analysisData pipelinesModel deploymentModel monitoringLarge language modelsRetrieval augmented generationA/B testingCausal inferenceData analysisPythonSQL
CollaborationStorytellingProblem-solvingCommunicationCreativityAnalytical thinking
Industry Retail / Apparel
Job Function Develop and deploy advanced data science and AI solutions for business insights
Data ScientistData scienceAIMachine learningData pipelinesModel deploymentModel monitoringLarge language modelsRetrieval augmented generationA/B testingCausal inferenceData analysisPythonSQL

Lack of experience with machine learning and data science techniques, No experience with deploying models in production, Proficiency in Python and SQL required

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