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Quince

Senior Data Scientist, ML - Recommendations

Quince, Palo Alto, California, United States, 94306

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Senior Data Scientist, ML - Recommendations

Overview We are seeking a Senior Data Scientist to transform how people purchase essential goods through innovative data science and AI solutions. As a Storefront Data Scientist at Quince, you will spearhead data science solutions to elevate site personalization, ranking, search, and discovery, driving meaningful improvements that shape the future of Quince. Our Story Quince was started to challenge the idea that nice things should cost a lot. Our mission is to offer items of equal or greater quality than leading luxury brands at lower prices. Our Values Customer First. Customer satisfaction is our highest priority. High Quality. True quality comes from premium materials and high production standards. Essential design. We curate the best products and bring them to you at the lowest prices. Always a better deal. We pursue innovation and price transparency to benefit customers and factory partners. Environmentally and socially conscious. We commit to sustainable materials, responsible production, and fair wages for factory workers. Our Team and Success Quince is a retail and technology company with experience in retail, technology, and building early-stage companies. You will work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike, and more. The Ideal Candidate We seek passionate individuals who are excited about transforming how people purchase essential goods through innovative data science and AI. We are a centralized data science team that optimizes and automates decision making and provides valuable business insights. As a Storefront Data Scientist at Quince, you will lead innovative data science solutions to elevate site personalization, ranking, search, and discovery, enhancing the shopping experience and driving improvements for 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 and contribute 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 MS or PhD in statistics, mathematics, engineering, computer science, or another quantitative field and 2+ years of experience as a data scientist in a relevant industry. Hands-on experience applying machine learning, predictive modeling, and GenAI to consumer-facing applications. Deep knowledge in statistical and machine learning techniques. Proficiency with 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. Note: We rely on market indicators and consider your specific job family, background, skills, and experience to determine compensation in the market range. Bonus eligibility varies by role and is determined based on impact and contribution to strategic goals. Pay Range $200,000 - $250,000 USD EEO and Accommodations Quince provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type. We are committed to an inclusive and accessible hiring process. If you require reasonable accommodation during any part of the application or interview process, please contact accommodations@onequince.com. Security Advisory Be aware of recruitment fraud. Initial communication is via official Quince emails and LinkedIn. Personal data will not be solicited during the application phase. Interviews are conducted via approved platforms. Offers are merit-based and communicated in writing.

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