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Key skills for this role
The Space Presentation Data Science team builds capabilities that improve Planogram decisions across stores.
The team develops machine learning and optimization models for sales estimation, space elasticity, Planogram fitment, incrementality, and execution strategies.
The work combines machine learning, econometrics, forecasting, optimization, experimentation, retail science, and production decisioning.
Target Data Science and Engineering develops predictive algorithms using data at scale to automate and optimize decisions.
The teams apply statistics, optimization, and machine learning to marketing, supply chain, network security, personalization, and other business areas.
The Space Presentation Data Science team builds capabilities that improve Planogram decisions across stores.
The team develops machine learning and optimization models for sales estimation, space elasticity, Planogram fitment, incrementality, and execution strategies.
The work combines machine learning, econometrics, forecasting, optimization, experimentation, retail science, and production decisioning.
The Senior Data Scientist will build and improve machine learning and optimization models for Target’s Planogram capabilities.
The primary focus is sales forecasting, elasticity modeling, and optimization-based presentation recommendations.
The role partners with data scientists, product managers, engineers, analysts, merchandising partners, and business stakeholders.
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