Data Scientist, Planning and Forecasting at Quince
$213,000–$242,000
Jul 20, 2026
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Jul 22, 2026
What this job asks for AI summary
A senior data science role focused on building supply chain planning capabilities, including demand forecasting at multiple geographic scales, inventory placement optimization, vendor performance modelling, and raw material signal generation. The position involves owning individual modelling workstreams, collaborating with leadership on the science roadmap, and working with an engineering team that supports model deployment. Suits candidates comfortable with modern forecasting, operations research, and LLM-assisted experimentation.
Senior level
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
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 (4)
The job posting is unusually sparse on concrete named technologies — no programming languages, ML frameworks, or specific tools are mentioned anywhere. The three skills extracted (demand forecasting, LLMs, inventory optimization) are the only concrete technical capabilities named, and they are framed as core to the role's charter rather than as optional extras.
Location is not stated anywhere in the posting; CBSA and state fields are left blank. Remote status is also unspecified — defaulting to on-site.
The role sits at the boundary between Data Science (15-2051) and Operations Research (15-2031): the agenda explicitly covers demand forecasting, inventory placement optimization, and vendor performance modelling, which are classic OR/supply-chain-science domains. Data Science is the primary classification because the posting emphasises modelling workstreams, EDA, and feature engineering, but OR is a genuine runner-up.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): inventory optimization.
Read the full posting
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