Senior Data Scientist, Growth

Responsibilities Work on the core automated bidding infrastructure and allocation algorithms to model where the next advertising dollar yields maximum return. Build end-to-end production machine learning models from 0 to 1 with immediate, high-visibility impact on the company's top line. Design, build, and productionalize autonomous models and production-level data pipelines that automate operational business logic and spend efficiency. Manage ad platform integrations, handle bidding automation, and optimize complex marketing tech workflows. Work on automated processes for design and creative production Function as a deep, independent individual contributor digging deep into complex systems and tackling loosely defined optimization and statistical problems. Collaborate cross-functionally with marketing, product, and data science teams while maintaining high-visibility access to executive leadership.

Qualifications Required 2+ years of technical experience, including at least 1 year of corporate/industry experience. Technical proficiency in Python and SQL. Proven background as a Data Scientist, Machine Learning Engineer, or ML Researcher with hands-on experience independently pushing machine learning models into a live production environment. Deep analytical and problem-solving strengths with a demonstrated history of working independently on loosely defined optimization and statistical problems. Excellent collaboration and communication skills to work effectively with cross-functional partners and leadership teams. Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure. Preferred Direct domain experience in ad tech infrastructure, automated campaign management, digital advertising, performance marketing tech, programmatic bidding optimization or automated investment platforms. Experience working within a direct-to-consumer, retail, or e-commerce environment, particularly owning data pipelines for real-time bid pricing or user attribution platforms. Practical engineering exposure to large language models (such as Claude) and working with vector spaces. All posted ranges are reflective of base salary and may vary depending upon experience level and location.

Bonus and equity may also be provided for eligible roles. Pay Range $171,000 — $198,000 USD WHY QUINCE? Joining Quince means being part of a mission-driven team reshaping retail. You will work alongside talented colleagues, tackle meaningful challenges, and contribute to building a more sustainable, accessible future for customers and partners alike. EQUAL OPPORTUNITY & HIRING INTEGRITY 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. Quince is committed to providing reasonable accommodations to qualified individuals with disabilities. If you need a reasonable accommodation to complete your application or to perform the essential functions of a role at Quince, please let us know by completing this accommodation form . We review all requests individually and will work with you to determine appropriate accommodations on a case-by-case basis. Employment is contingent upon successful completion of a background check. Quince will conduct background checks in compliance with applicable federal, state, and local laws. Security Advisory: Beware of Frauds At Quince, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Quince emphasizes legitimate recruitment practices. 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. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

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