Quince is hiring a
Staff Data Scientist

Summary

The job is for a Storefront Data Scientist at Quince, a retail and tech company that focuses on providing high-quality essential goods at affordable prices. The role requires an individual with a quantitative background and 5+ years of experience in data science to develop machine learning models for site personalization, ranking, search, and discovery.

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

Responsibilities

• 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

Preferred Qualifications

Move fast, be a team player, and kind