Data Scientist 2/3, Storefront

📋 Description Real-time personalization across app and site. In-house search using LLMs for query understanding. Drive app engagement with interactive experiences. Own end-to-end modeling pipelines in Python/SQL. Shape data infrastructure and real-time tracking frameworks. Partner with product and engineering to align targets. 🎯 Requirements 5+ years data science in consumer products or ecommerce. MS or PhD in quantitative field. Python & SQL proficiency; production ML libraries. Production-grade recommender or personalization pipelines. Experience with Generative AI or LLM workflows. Model productionization balancing accuracy and latency. 🎁 Benefits Impactful work reshaping retail with AI and data. Equal opportunity employer and inclusive culture. Reasonable accommodations for applicants. Transparent pay ranges; bonuses and equity may be provided. Looker/Tableau dashboards for model metrics.