✦ Luna Orbit — Data & Analytics

Sr Applied Data Scientist - Search (NLP, Query Understanding, LLM's)

at Target

📍 2 Locations Hybrid 💰 $98K – $211K USD / year Posted March 13, 2026
Salary $98K – $211K USD / year
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

A data science role focused on developing NLP and machine learning models to enhance search and personalization in retail environments.

  • Develop NLP models
  • Implement machine learning algorithms
  • Mine and analyze large datasets
  • Optimize search relevance
  • Collaborate with cross-functional teams

Utilizes NLP, deep learning, and data mining techniques with tools like Python, TensorFlow, and PyTorch to process large datasets and build scalable models.

The ideal candidate is a mid-level data scientist with expertise in NLP, machine learning, and deep learning techniques, preferably with experience in retail search systems. They should have strong analytical skills and the ability to work with large datasets to develop scalable models.

NLPMachine LearningDeep LearningPythonData ScienceModel DevelopmentData Mining
Large Language ModelsLLMsSearch SystemsNLP TechniquesMobile SearchWeb Search
PythonTensorFlowPyTorchSQLBig Data Platforms
NLPMachine LearningDeep LearningPythonData ScienceModel DevelopmentData MiningSearch Algorithms
Natural Language ProcessingNLPMachine LearningMLDeep LearningData SciencePythonLinear AlgebraProbability TheoryStatisticsOptimizationModel DevelopmentData MiningBig DataSearch Algorithms
CommunicationCollaborationProblem-solvingAnalytical ThinkingTeamwork
Industry Retail
Job Function Developing and deploying NLP and machine learning models to improve search and personalization systems.
Data ScientistNatural Language ProcessingNLPMachine LearningMLDeep LearningData SciencePythonModel DevelopmentData MiningBig DataSearch AlgorithmsTargetSearchPersonalizationRetail Data ScienceData Exploration

Lack of experience with NLP or machine learning, No experience with data mining or data science, Unable to work in a hybrid environment

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