Principal Data Scientist, Quince
ML Planning
More information about location
Affordable luxury fashion & home goods
Job no longer available
Affordable luxury fashion & home goods
1001+ employees
Job no longer available
More information about location
1001+ employees
Company mission
To create products of equal or greater quality than the leading luxury brands at a much lower price.
Role
Who you are
- 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
- 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 ands-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
- 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
What the job involves
- We are a centralized data science team that optimize and automate the decision making and provide valuable and actionable business 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
- 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
Our take
Recently, there has been more widespread awareness of the alarming waste of resources and environmental impact caused by the fast fashion industry. Recognizing these concerns, Quince is looking to offer a more sustainable alternative to consumers.
Quince is a direct-to-consumer brand that offers high-quality products at lower prices by cutting out the middlemen. The company provides wardrobe staples and home goods, with an emphasis on minimalism, simplicity and timeless designs.
The company works directly with factories to produce inventory on a near-just-in-time basis. By eliminating unnecessary intermediaries, Quince can streamline the supply chain and reduce financial and environmental waste.
This approach allows Quince to ship goods directly to consumers' doorsteps, providing a more efficient and sustainable shopping experience. This has proven very popular, allowing the company to raise significant funding, reach a valuation of $4.5 billion and expand to Canada.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
58% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Mar 2026
$500m
SERIES E
Jul 2025
$200m
LATE VC
Total funding: $958m
Company HQ
SoMa, San Francisco, CA
Leadership
Sid Gupta
(CEO & Co-founder)Graduated from Stanford University with an MBA in Finance. Previously the Founder and CEO of Lolli and Pops as well as the Director of Strategy at TechTurn.
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