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AI Store Cluster Assortment Optimizer

Sophia Ferreira

Full-time · Job · Chicago

About the role

The assortment recommendations you'll help build are used to stock over 3,000 grocery stores every single week. We already have solid demand forecasting and shelf-life prediction models running in production. What's missing is a clustering layer that groups stores by local buying behavior so assortment planners stop applying one national plan to every location. You'll join a cross-functional squad with defined sprints and clear ownership, building the clustering pipeline and the dashboard planners use to review recommendations before they go to buyers.

Responsibilities

  • Build store clustering models based on local purchasing behavior
  • Develop dashboards planners use to review assortment recommendations
  • Partner with category managers to validate cluster definitions
  • Maintain data pipelines feeding the clustering models

Requirements

  • 0-2 years of experience, internships or coursework count
  • Python and SQL proficiency
  • Familiarity with Tableau or similar BI tools
  • Interest in retail or supply chain analytics

Benefits

  • Fully remote position
  • Structured onboarding and mentorship program
  • Health and dental insurance
  • Annual learning stipend

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Job Type

Full-time

Level

Junior

Language

English

Salary Range

$60k – $80k / year

AI Expertise

data science & analytics AI Business, Marketing & Strategy

Skills

python sql pandas tableau

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