Senior Data Scientist, Growth
Quince · Palo Alto, California, United States
Posted about 3 months ago · Previously reposted
or apply directly on Quince's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 80 days Quince's roles stay open a median of 80 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 21% of Quince's roles list one
- Ghost-job risk at Quince
- high 130 stale, 12 reposted of 134 open
- Hiring momentum
- 216 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-10-22
Measured from postings appearing on and disappearing from Quince's own greenhouse board since 2026-08-03. Full hiring picture for Quince.
About this role
As a Senior Data Scientist focused on Growth at Quince, you will be responsible for developing and managing machine-driven decision engines and automated bidding systems that influence a significant global marketing budget. Your role involves building end-to-end production machine learning models, optimizing advertising spend, and collaborating with various teams to enhance operational efficiency and impact the company's growth. This position offers high visibility and direct access to executive leadership, allowing you to see the tangible effects of your work on the business.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Quince as an employer.
What you need
- 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
Nice to have
- 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
What you get
- Base salary range of $148,000 — $198,000 USD
- Bonus and equity may also be provided for eligible roles
Worth weighing
- High-exposure role with direct access to executive leadership
- Fast-paced and high-leverage entrepreneurial environment
- Role involves significant autonomy and responsibility
- No specific mention of work-life balance or remote work options
Summarised from Quince's posting. Read the full original.
Listed by Quince on their greenhouse job board, last confirmed open on 2026-10-22. PitchMeAI is not the employer.
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