Staff Data Scientist - Performance Marketing

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.

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.
  

Qualifications

Required:

• 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.