Staff Data Scientist, ML - Marketing Mix Model

About the Company
Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price. We value Customer First, High Quality, Essential Design, Always a Better Deal, and Environmentally and Socially Conscious practices. Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Google, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.

Job Description
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 Growth Data Scientist at Quince, you will spearhead data science initiatives to refine our growth (marketing) 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.

Candidates based in the SF Bay Area will be required to work in a hybrid capacity out of our Palo Alto office, 3 days/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

• 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 touch points on customer conversion and validate the model accuracy.
• Optimize budget allocation on paid channels to maximize ROI.
• 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.

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 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.

Salary

• $150,000 - $320,000 USD

Location

• Hybrid (Palo Alto, CA) or Remote (USA)

Quince provides equal employment opportunities to all employees and applications for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran or military status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

If you require reasonable accommodation during any part of the application or interview process, please contact [email protected]. We are committed to ensuring an inclusive and accessible hiring process for all candidates.

Security Advisory: Beware of Frauds. Initial communication is primarily via official Quince email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Google Meets or Zoom—never via messaging apps or other calling services. Offers are merit-based, communicated verbally, and followed up in writing.