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Quince

Senior Data Scientist, Planning and Forecasting

Quince · Palo Alto, California, United States

Posted about 3 months ago · $213,000 - $242,000

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
No
Salary listed
Yes
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 in Planning and Forecasting at Quince, you will lead modeling workstreams focused on demand forecasting, inventory optimization, and vendor performance modeling. You will collaborate with engineering teams to ensure your models are effectively deployed and integrated into the company's supply chain planning capabilities. The role emphasizes AI-native practices and requires a strong understanding of various forecasting methodologies, with a focus on producing actionable insights for operational decision-making.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
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

  • 5-8 years of applied data science or operations research experience
  • Demonstrable track record of shipping models that moved business metrics
  • Real depth in forecasting methodology (statistical, ML, and AI-driven)
  • Substantive experience with at least one OR domain: inventory optimization, vendor lead-time modeling, transportation mode selection, or equivalent
  • Engineering fluency to own your work end-to-end: feature pipelines, experiments, model serving
  • AI-native science practice including LLM-aided EDA, agentic feature discovery, AI-augmented experimentation

Nice to have

  • Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred

What you get

  • Base salary range of $187,000 — $242,000 USD
  • Bonus and equity may also be provided for eligible roles

Worth weighing

  • Role involves building supply chain planning science capability from scratch
  • Expectations for AI-native science practices may require a steep learning curve for those unfamiliar with modern methodologies
  • No specific mention of remote work options or flexibility in work location

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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