✦ Luna Orbit — AI & Machine Learning

Sr Data Scientist - Mar Tech (Applied ML, Recommender Systems, Reinforcement Learning)

at Target

📍 7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445 Hybrid 💰 $98K – $176K USD / year Posted March 13, 2026
Salary $98K – $176K USD / year
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category AI & Machine Learning

This role involves developing machine learning models, particularly recommender systems and reinforcement learning algorithms, to enhance Target's marketing and personalization platforms.

  • Develop AI models
  • Implement recommender systems
  • Apply reinforcement learning
  • Perform data exploration and analysis
  • Optimize model performance

The candidate will utilize Python and ML frameworks to explore data, develop models, and optimize AI solutions for retail marketing applications, with a focus on applied machine learning and reinforcement learning techniques.

The ideal candidate is a mid-level data scientist with expertise in machine learning, recommender systems, and reinforcement learning, proficient in Python and data analysis, with a focus on developing AI models for retail applications.

Machine LearningRecommender SystemsReinforcement LearningPythonData analysis
GenAIDeep LearningModel deployment
PythonML frameworksData analysis tools
Machine LearningRecommender SystemsReinforcement LearningApplied MLAI modelsData explorationModel developmentPythonData analysisStatisticsLinear algebraOptimization
Machine LearningRecommender SystemsReinforcement LearningApplied MLAI modelsData explorationModel developmentPythonData analysisStatisticsLinear algebraOptimization
Innovative thinkingProblem-solvingCollaborationCommunicationAdaptability
Industry Retail / E-commerce
Job Function Design and develop machine learning models to improve Target's marketing and personalization systems
Machine LearningRecommender SystemsReinforcement LearningApplied MLAI modelsData explorationModel developmentPythonData analysisStatisticsLinear algebraOptimization

Lack of experience in machine learning or AI, No proficiency in Python, Limited experience with recommender systems, Inability to handle large datasets

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