Quince-posted 10 months ago
$180,000 - $250,000/Yr
Full-time • Senior
Palo Alto, CA

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. We are seeking passionate individuals who are enthusiastic about transforming the way people purchase essential goods through innovative data science and AI solutions. As a Principal Storefront Data Scientist at Quince, you will lead the exploration, design, and implementation of data science solutions to enhance personalization, ranking, search and discovery. Your work will greatly enhance the customer experience, providing you with the opportunity to significantly influence the future success of Quince.

  • Develop and refine machine learning and statistical models to deliver personalized customer experience, including product search, ranking, and recommendations on site, app and CRM channels.
  • Create new ranking features and construct end-to-end modeling pipelines utilizing the latest ML/AI technologies.
  • Deploy ML models into production, run live 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 and scale: Continuously strive for automated and production-ready solutions to improve efficiency and scalability.
  • Serve as a thought leader in the storefront pod, leveraging the latest advancements in data science and AI to enhance the customer experience.
  • MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field.
  • 7+ 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.
  • Deep knowledge in statistical and machine learning algorithms.
  • Deep learning and LLMs.
  • End to end 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.
  • Equal employment opportunities to all employees.
  • Prohibits discrimination and harassment of any type.
  • Compensation determined based on market indicators and specific job family, background, skills, and experience.
  • Bonus eligibility varies by role.
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