Staff, Data Scientist
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El puesto
Drive data-derived insights across retail domains by developing advanced statistical models, ML algorithms, and computational solutions aligned with business goals.
Direct the collection and validation of data, synthesizing large analytics datasets to support project outcomes.
Lead a cross-functional team of Data Scientists, Analysts, and Engineers to enhance Catalog Content Quality using Machine Learning and Generative AI.
Utilize big data analytics and advanced techniques to identify trends, patterns, and discrepancies, and determine additional data needs.
Build, train, and deploy AI/ML models for scalable reuse across future projects, and maintain these solutions in production.
Translate complex findings into clear recommendations for business partners, defining success metrics and driving data-driven decisions across regions.
Direct the collection and validation of data, synthesizing large analytics datasets to support project outcomes.
Lead a cross-functional team of Data Scientists, Analysts, and Engineers to enhance Catalog Content Quality using Machine Learning and Generative AI.
Utilize big data analytics and advanced techniques to identify trends, patterns, and discrepancies, and determine additional data needs.
Build, train, and deploy AI/ML models for scalable reuse across future projects, and maintain these solutions in production.
Translate complex findings into clear recommendations for business partners, defining success metrics and driving data-driven decisions across regions.
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