ABOUT QUINCE

Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value.

Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions:

Customer First: We prioritize customer satisfaction in every decision.
High Quality: True quality means premium materials and rigorous production standards you can feel good about.
Essential Design: We focus on timeless, functional essentials instead of chasing trends.
Always a Better Deal: Innovation and transparency ensure value for both customers and partners.
Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages.

Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency.

OUR TEAM AND SUCCESS

At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.

If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince.

THE ROLE

Senior Data Scientist, ML - Storefront

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 Storefront Data Scientist at Quince, you will spearhead innovative data science solutions to elevate site personalization, ranking, search, and discovery. Your work will enhance the shopping experience, enabling you to drive meaningful improvements that shape the future of Quince.

Responsibilities

Develop and apply machine learning and statistical models to enhance personalized site and app experiences, including product search, ranking, and recommendations.
Build and optimize ranking features while contributing to end-to-end modeling pipelines using modern ML/AI techniques.
Support model deployment, run experiments, and assist in monitoring model performance in production.
Collaborate with product, business, and engineering teams to develop and implement data-driven solutions.
Communicate findings by translating complex data insights into actionable recommendations for business stakeholders.
Identify data gaps, define data requirements, and work with Engineering teams to improve data infrastructure and tracking.
Share insights and best practices with Analytics and cross-functional teams to promote consistency in data-driven decision-making.
Seek opportunities to automate processes and improve efficiency in model development and deployment.

Qualifications

Required:

MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field AND 2+ years of experience as a data scientist in relevant industry.
Hands-on experience applying machine learning, predictive modeling, GenAI to developing consumer facing applications.
Deep knowledge in:
- Statistical and machine learning techniques.
- Data Science libraries in a programming or scripting language.
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 be kind.

All posted ranges are reflective of base salary and may vary depending upon experience level and location. Bonus and equity may also be provided for eligible roles.

Pay Range: $175,000 USD - $230,000 USD

WHY QUINCE?

Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike.

EQUAL OPPORTUNITY & HIRING INTEGRITY

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form. We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis.

Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws.

Security Advisory: Beware of Frauds

At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

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