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Metro locations, common mid-level Data Scientist title, unspecified experience increases applicant density.
Retail domain knowledge plus ML modeling increases industry specificity, moderately limiting cross-industry transferability.
Technical ML model development and AI Agents expertise required despite no explicit years, causing moderate filtering.
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Develop new models specifically for the retail domain to drive business insights and decisions.
Apply knowledge of AI Agents within retail-focused data solutions.
Contribute directly to data-driven strategies impacting retail operations.
Mandatory experience in data science related to the retail domain.
Hands-on experience in developing new predictive or analytical models.
Good understanding of AI Agents technology.
Work Experience Required: Not explicitly mentioned in the JD.
Strong domain expertise in retail to tailor models effectively.
Experience working in model development projects involving AI Agents.
Ability to integrate AI-driven approaches into retail data problems.