Staff Data Scientist, Quince
Performance Marketing
$190-235k
More information about location
Affordable luxury fashion and home goods brand
Be an early applicant
Affordable luxury fashion and home goods brand
201-500 employees
Be an early applicant
$190-235k
More information about location
201-500 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
- 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 performance marketing efficiency
- Deep knowledge in:
- Statistical and machine learning techniques, and causal inference
- Data Science libraries in a programming or scripting language
- Growth and performance marketing for e-commerce or marketplace
- 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
- We are looking for passionate individuals excited about revolutionizing the way people purchase essential goods through cutting-edge data science and AI solutions
- 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 Staff Data Scientist for Performance Marketing at Quince, you will spearhead data science initiatives to optimize our performance marketing efficiency
- Your contributions will significantly drive growth and retention, giving you the chance to make a substantial impact on the future success of Quince
- Own end-to-end predictive modeling for marketing campaign efficiency (e.g., conversion/CPA forecasting, churn/retention propensity, creative/audience response models)
- Design and implement dynamic budget allocation and bidding optimization engines across paid search, paid social, display, affiliates, and emerging channels (e.g., multi-armed bandits, reinforcement learning, constrained optimization)
- Develop audience targeting strategies using look-alike modeling, clustering/segmentation, and uplift modeling to maximize incremental impact
- Stand up reliable feature and model pipelines from raw and structured data streams (ad platforms, web/app analytics, offline) through feature engineering to deployment (batch and real-time)
- Partner with Growth/Marketing, Finance, and Product to translate business goals into testable hypotheses, define success metrics, and run statistically sound experimentation (A/B, sequential tests), coordinating with the attribution/measurement owner as needed
- Build simulation/sandbox tools to forecast scenarios (spend curves, diminishing returns, seasonality, cannibalization)
- Stay up to date with the latest AI trends, tools, and best practices in growth marketing and data science
Our take
The rise in fast fashion has brought widespread awareness of the alarming waste of resources and the significant environmental impact caused by the industry. Recognizing these concerns, Quince is looking to address these issues and 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 middleman. The company focuses on providing wardrobe staples and home goods, with an emphasis on minimalism, simplicity, and timeless designs.
Quince 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, minimizing transportation and warehousing costs and as a result, providing customers with a more efficient and sustainable shopping experience.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
58% employee growth in 12 months
Company
Funding (last 2 of 3 rounds)
Jul 2025
$200m
LATE VC
Jan 2025
$120m
SERIES C
Total funding: $397m
Company HQ
SoMa, San Francisco, CA
Leadership
Sid Gupta
(CEO)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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