Principal Data Scientist

OUR STORY

Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.

OUR VALUES

EVERYONE 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 SUCCESS

Quince 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 CANDIDATE

We 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
• Design, implement, and optimize machine learning models
• Analyze large datasets
• Collaborate with cross-functional teams to integrate data science solutions into production, ensuring scalability and performance
• Stay updated on the latest advancements in AI, deep learning, and machine learning algorithms to continuously improve existing systems

REQUIRED SKILLS:

• MS or PhD in statistics, mathematics, analytics, computer science or another quantitative field
• 5+ years of experience in data science or applied science roles
• Extensive experience in machine learning and deep learning, particularly within e-commerce
• Proficiency in Python and SQL
• Hands-on experience in ML and deep learning algorithms
• Must have experience managing the entire data science lifecycle, including problem definition, data collection, preprocessing, model development, deployment, and ongoing monitoring and maintenance
• Capable of delivering comprehensive solutions that address business challenges from start to finish
• Building ML product into production; end-to-end

NICE TO HAVE:

• Experience with real-time data processing and large language models
• Expertise in recommendations, personalization, search, casual inference, marketing, and discovery
• Familiarity with Spark
• Proven experience leading data science teams or projects, or the ability to guide, mentor, and collaborate effectively with cross-functional teams