OUR VALUESEVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.
QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.
WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.
WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.
ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.
FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.
OUR TEAM AND SUCCESSQuince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
THE IDEAL CANDIDATEWe are seeking passionate individuals who are enthusiastic about transforming the way people purchase essential goods through innovative data science and AI solutions. We are a centralized data science team that optimize and automate the decision making and provide valuable and actionable business insights. As a Data Scientist at Quince, you will lead the exploration, design, and implementation of data science solutions across critical business areas such as search and discovery, merchandising, supply chain, logistics, and marketing. Your work will drive efficiency improvements and enhance the customer experience, providing you with the opportunity to significantly influence the future success of Quince.
RESPONSIBILITIES:
- Architect and own data science solutions: Develop and maintain predictive models to address specific business problems
- Collaborate across functions: Work closely with product, business, and engineering partners to initiate, develop, and deploy solutions with cross-functional support
- Develop impactful models: Build models that support real-time or batch decisions across various business areas
- 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
DESIRED SKILLS:
- MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field AND 3+ years of experience as a data scientist in relevant industry
- Hands-on experience applying descriptive statistics, machine learning, predictive modeling, GenAI to solve challenging business problems
DEEP KNOWLEDGE IN:
- Statistical and machine learning techniques
- Data Science libraries in a programming or scripting language
- Model Productionalization
- 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
United States
