Staff Data Scientist - Performance Marketing

Quince

48d • Hybrid

About The Position

Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First: We prioritize customer satisfaction in every decision. High Quality: True quality means premium materials and rigorous production standards you can feel good about. Essential Design: We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal: Innovation and transparency ensure value for both customers and partners. Social & Environmental Responsibility: We commit to sustainable materials, ethical production, and fair wages. Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. OUR TEAM AND SUCCESS At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence. If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince. THE ROLE Staff Data Scientist - Performance Marketing 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 through audience targeting and automated bidding strategies. Your contributions will significantly drive growth and retention, giving you the chance to make a substantial impact on the future success of Quince. Candidates based in the SF Bay Area will be required to work in a hybrid capacity, 3 days per 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.

Requirements

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees