Lead Data Scientist

1 Day ago • 7-10 Years

Job Summary

Job Description

The Lead Data Scientist at Quince will spearhead the development and implementation of data science solutions to enhance personalization, ranking, search, and discovery on the platform. Responsibilities include developing machine learning models for personalized customer experiences, creating ranking features, deploying models into production, collaborating with cross-functional teams, presenting insights, enhancing data infrastructure, promoting best practices, and driving automation. This role involves a significant opportunity to influence the future of Quince by optimizing decision-making and delivering valuable business insights. The candidate will work on recommender systems, ranking and personalization.
Must have:
  • MS or PhD in a quantitative field.
  • 7-10 years of data science experience.
  • Experience with machine learning and AI.
  • Proficiency in Python and SQL.
  • Excellent communication skills.

Job Details

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

Customer First. Customer satisfaction is our highest priority.

High Quality. True quality is a combination of premium materials and high production standards that everyone can feel good about.

Essential design. We don’t chase trends, and we don’t sell everything.  We’re expert curators that find the very best and bring it to you at the lowest prices.

Always a better deal. Through innovation and real price transparency we want to offer the best deal to both our customers and our factory partners.  

Environmentally and Socially conscious.  We’re committed to sustainable materials and sustainable production methods. That means a cleaner environment and fair wages for factory workers.

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, Google, 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 Lead 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.

RESPONSIBILITIES:

  • 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 the Analytics team 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.

REQUIREMENTS:

  • MS or PhD in statistics, mathematics, engineering, computer science or another quantitative field AND 7 to 10 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:
  • 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.
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.
 

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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About The Company

At Quince, we’re not just building teams; we’re seeking individuals who are ready to make significant contributions in a streamlined and efficient environment. Our organizational structure is intentionally lean, allowing team members to have a major impact swiftly and efficiently. This approach ensures that innovation and decision-making processes thrive, enabling you to focus on what truly matters - achieving results and advancing our mission. We craft roles that are not only vital to our business needs but also provide substantial opportunities to make a meaningful impact. Our aim is for every employee’s efforts to directly advance our mission of delivering high-quality products at fair prices. We are excited about the possibility of you joining us and are eager to see how your vision aligns with our path to growth and excellence.
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