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Quince

Senior/Staff Data Scientist, Storefront

Quince · Palo Alto, California, United States

Posted about 3 months ago

or apply directly on Quince's site. We never take the application ourselves.

Is this posting real?

This role has been open
102 days
Quince's roles stay open a median of 103 days
Reposted
No
Salary listed
No
21% of Quince's roles list one
Ghost-job risk at Quince
high
134 stale, 12 reposted of 134 open
Hiring momentum
44 roles opened in the last 90 days
↓ down vs. the prior 90 days
Last confirmed on the employer's board
2026-11-14

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/Staff Data Scientist on the Storefront team at Quince, you will focus on developing and refining machine learning models for real-time personalization, building a natural language search engine, and enhancing app engagement through algorithm design. You will own the end-to-end modeling process, collaborate with cross-functional teams, and ensure the deployment of production-grade models that enhance user satisfaction and conversion rates.

Our read on this posting2.2out of 5
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 industry experience as a data scientist, preferably in consumer-facing products or e-commerce
  • MS or PhD in statistics, mathematics, engineering, computer science, or a highly quantitative field
  • Exceptional proficiency in Python and SQL
  • Hands-on experience developing and deploying production-grade Recommender Systems, Relevance Ranking, or Personalization pipelines
  • Proven experience working with Generative AI or LLM application workflows
  • Strong model productionalization skills with a customer-first mindset

Nice to have

  • Experience replacing or augmenting traditional NLP systems with LLMs
  • Familiarity with Business Intelligence tools (e.g., Looker, Tableau)
  • Experience building data product specifications alongside distributed engineering teams

Worth weighing

  • No specific benefits or perks listed
  • Pay range provided but may vary based on experience and location
  • Fast-paced environment may require adaptability to high expectations

Summarised from Quince's posting. Read the full original.

Listed by Quince on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.

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