Principal Data Scientist, ML - Planning

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 the business operates the inventory and logistics planning. We are a centralized data science team that optimizes and automates decision making across the business, and provides valuable and actionable insights. As a Planning Data Scientist at Quince, you will lead the exploration, design, and implementation of data science solutions to optimize our inventory planning and allocations. Your work will greatly optimize our inventory level and the in stock rate across all the categories, providing you with the opportunity to significantly influence the future success of Quince.

Candidates based in the SF Bay Area will be required to work in a hybrid capacity out of our Palo Alto office, 3 days/week (Monday, Wednesday and Thursday). All candidates outside of that region will be able to work in a fully remote capacity. No relocation is required.

RESPONSIBILITIES:

• Develop and execute the data science strategy for inventory and logistics planning, aligning with broader business goals. Identify and prioritize high-impact data-driven projects that optimize the company’s planning processes and drive operational efficiency.
• Design, develop, and refine predictive models for demand forecasting, inventory optimization, and workforce allocation.
• Leverage advanced machine learning and optimization techniques to solve complex supply chain and planning problems at scale.
• Deploy the ML models into production, run 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: Continuously strive for automated and production-ready solutions to improve efficiency and scalability.

REQUIREMENTS:

• MS or PhD in statistics, mathematics, engineering, computer science, operations research or another quantitative field.
• 7+ years of experience as a data scientist in relevant industry, with hands-on experience applying machine learning, predictive modeling, optimizations, and GenAI to optimizing inventory and logistics planning.
• Deep knowledge in:
• Statistical, optimization and machine learning techniques.
• Data science libraries in a programming or scripting language (proficiency with Python and SQL)
• Model productionalization
• Excellent communication and presentation skills.
• Experience with BI platforms such as Looker, Tableau, etc.
• Move fast, be a team player, and be 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.

If you require reasonable accommodation during any part of the application or interview process, please contact accommodations@onequince.com. We are committed to ensuring an inclusive and accessible hiring process for all candidates.

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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