Lead Data Scientist
Lead Data Scientist
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Job Description
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 dont chase trends and we dont sell everything. Were 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. Were 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 cofounded by a team that has extensive experience in retail technology and building early stage companies. Youll work with a team of worldclass 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 endtoend 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 crossfunctional 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 datadriven decisionmaking across the organization.
- Drive automation and scale: Continuously strive for automated and productionready 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.
- Handson 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.
Security Advisory: Beware of Frauds
At Quince were 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 Zoomnever via messaging apps or other calling services. Offers are meritbased 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.
Employment Type
Full Time
