Staff Data Scientist - Storefront

August 24

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Quince

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High Quality Products. Radically Lower Prices.

ecommerce • apparel • accessories • homegoods • luxury

11 - 50

Description

• Develop and refine machine learning and statistical models to deliver personalized customer experience, including product search, ranking, and recommendations on both the site and app. • Create new ranking features and construct end-to-end modeling pipelines utilizing the latest ML/AI technologies. • Deploy the ML models into production, run experiments, and enable performance monitoring in production. • Collaborate across functions: Work closely with product, business, and engineering partners to initiate, develop, and deploy solutions with cross-functional support. • Communicate insights: Present outcomes and insights to business stakeholders and leadership. • Enhance data infrastructure: Identify gaps in existing data, create data product specifications, and collaborate with Engineering teams to implement enhanced data tracking. • Promote best practices: Partner with Analytics team members and other functions to share insights and best practices, ensuring consistency in data-driven decision-making across the organization. • Drive automation: Continuously strive for automated and production-ready solutions to improve efficiency and scalability.

Requirements

• MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field AND 5+ years of experience as a data scientist in relevant industry • Hands-on experience applying machine learning, predictive modeling, GenAI to developing Recommender System, Ranking, and Personalization • Proficient in Python and SQL • Excellent communication and presentation skills • Experience with BI platforms such as Looker, Tableau etc • Move fast, be a team player, and kind