Senior Data Scientist, Growth
Palo Alto, California, United States
- Pay
USD 148,000–198,000/yearAnnual period assumed — pay source
Pay Range $148,000—$198,000 USD WHY QUINCE?
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingWork 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.
From the employer’s posting
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.
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.
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.
What you’ll bring
All qualificationsCore experience
- 2+ years of technical experience, including at least 1 year of corporate/industry experience.
- 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.
- Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure.
Qualification wording
2+ years of technical experience, including at least 1 year of corporate/industry experience.
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.
Ability to dig deep into complex systems within a fast-paced, high-leverage entrepreneurial environment without a massive supporting infrastructure.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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.
About Quince
Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably.
In the employer’s words · Read in context
Job description
ABOUT QUINCE
Quince is a destination for builders, creators, innovators, and operators who want to come together and challenge the status quo. Our mission is simple: make really high quality essentials for really low prices, fairly and sustainably. We deliver on that mission through a unique manufacturer-to-consumer (M2C) model eliminating the layers of traditional retail that add cost and result in consumers paying more than they need to. We find, build relationships with, and work directly with the manufacturing partners behind some of the world’s finest products. From there, our teams design smart, efficient operational processes and build and deploy proprietary technology, AI, and analytics to help us scale fast.
What began with a small assortment of elevated basics has quickly grown into a cross-category brand spanning apparel, accessories, home goods, and more. Today, tens of millions of people across a growing number of countries come – and return – to Quince because they trust us to deliver.
OUR CULTURE
Quince is a culture built for builders by builders. Our way of working starts with a blank sheet of paper. We question conventional thinking, use technology and data to uncover new opportunities, and move quickly to turn ideas into reality. We aren’t interested in replicating how others do retail. We’re building a better way – at a speed and scale unlike anything that’s been done before.
- We dream big and chase the hard problems others shy away from. Rejecting long-held assumptions is part of our company's DNA. Where conventional wisdom says you have to choose – soft or durable, speed or rigor, quality or price – we ask why that trade-off has to exist in the first place.
- Our pace is fast and the bar is high because our customers expect a lot from us and we refuse to let them down. We believe the best results come from challenging ourselves, learning from one another, and building on each other's strengths.
- Here, responsibility is not determined by role, tenure, or seniority. Every team member - no matter their level - has the opportunity to drive our business and shape our trajectory.
If you’re someone who likes to imagine new possibilities and build better systems rather than plug-in to outdated ones, Quince is the place for you.
THE ROLE
Data Scientist, Growth
We are seeking a Data Scientist, Growth to join our growing team. In this high-exposure role, you will own the machine-driven decision engines and automated bidding infrastructure guiding a massive global performance marketing spend across 40+ business units. You will have the 0-to-1 autonomy to build end-to-end production models and write the core software fueling our growth engine. Blending rigorous applied research with immediate technical execution, this position offers a direct line to executive leadership and a clear, measurable view of your impact on our top and bottom lines.
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.
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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Pay Range $148,000—$198,000 USD WHY QUINCE?
- Location & working pattern
Palo Alto, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Jul 21, 2026
- Recorded sightings
- 33
- Last seen by us
- Oct 8, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.