Staff Data Scientist, Planning and Forecasting
Quince
$250,000–$285,000
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A senior individual-contributor role building a supply chain planning science function from the ground up, covering demand forecasting at multiple geographic scales, inventory placement optimization, vendor performance modelling, and raw material signal generation. The position carries end-to-end ownership of specific modelling workstreams — from problem framing through production deployment — and involves mentoring junior scientists and partnering directly with planning operators. Suited to a seasoned applied data scientist or operations researcher with roughly a decade of experience and deep supply chain domain knowledge.
Staff level · 8+ years · Full-time
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
Location is not specified in the posting; Quince is a San Francisco-based company, but no explicit work location or remote policy is stated — remote is marked false as a conservative default.
The role is explicitly titled and framed as 'Staff Data Scientist,' and the scope (setting the science charter, writing the roadmap, mentoring DS2s/DS3s, cross-team technical authority) genuinely supports a Staff-level classification — not merely a Senior with a long experience requirement.
The alt SOC (Operations Research Analysts, 15-2031) reflects the heavy OR content — inventory placement optimization, vendor performance modelling, forecasting tournaments — but the primary day-to-day work is data science modelling and ML, so 15-2051 is the primary pick.
An advanced degree (Statistics, CS, OR, Engineering, Economics) is listed as preferred; a PhD is noted as a plus. Neither is a hard gate, so degree requirement is set to None.
Skills such as 'demand forecasting,' 'inventory optimization,' 'supply chain planning,' 'statistical modeling,' 'operations research,' and 'A/B experimentation' are domain capabilities rather than named tools, but they are explicitly required and central to the role's hard gates — included here because the posting names no specific software stack beyond LLMs and feature/model pipeline work.
No specific ML frameworks, programming languages, or cloud platforms are named anywhere in the posting; the skills list reflects the methodological and domain requirements as stated.
Ignored 2 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): inventory optimization, supply chain planning.
Read the full posting
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