Staff Data Scientist, Quince
Machine Learning, Marketing Mix Model
$150-320k
More information about location
Affordable luxury fashion & home goods
Job no longer available
Affordable luxury fashion & home goods
1001+ employees
Job no longer available
$150-320k
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 looking for passionate individuals excited about revolutionizing the way people purchase essential goods through cutting-edge data science and AI solutions
- MS or PhD in statistics, mathematics, engineering, computer science, economics or another quantitative field AND 5+ years of experience as a growth data scientist in relevant industry
- Hands-on experience applying machine learning, predictive modeling, causal inference to drive growth
- Deep knowledge in:
- Statistical and machine learning techniques, and causal inference
- Data Science libraries in a programming or scripting language
- Growth and digital marketing
- Strong problem-solving skills with the ability to think critically and strategically about business challenges
- 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
- As part of our centralized data science team, you’ll play a pivotal role in optimizing and automating decision-making processes while delivering actionable business insights.
- As a Growth Data Scientist at Quince, you will spearhead data science initiatives to refine our growth strategies and methodologies; specifically, you will be tasked with building out an in-house marketing mix model (MMM)
- Your contributions will significantly enhance marketing efficiency and drive growth, giving you the chance to make a substantial impact on the future success of Quince
- Develop and implement predictive models and advanced analytics to understand customer behavior, lifetime value, and churn
- Utilize statistical and machine learning techniques to optimize marketing campaigns and personalization efforts
- Develop and refine customer segmentation models to enable targeted marketing efforts
- Develop and refine attribution models to understand the impact of different marketing channels and touchpoints on customer conversion and validate the model accuracy
- Optimize budget allocation on paid channels to maximize ROI
- Identify and model key High-Value Actions (HVAs) using causal inference that drive increased customer engagement and repeat purchases
- Design, execute, and analyze A/B tests and other experiments to validate hypotheses and inform growth strategies
- Work closely with engineering, product, and marketing teams to integrate data-driven insights into decision-making processes
- Partner with data engineering teams to ensure the availability and quality of data required for analysis
- Stay up to date with the latest trends, tools, and best practices in growth marketing and data science
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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