Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Staff Data Scientist, Planning and Forecasting

Quince
CompanyQuince
CategoryData & Analytics
LocationPalo Alto
RemoteOn-site (inferred)
EmploymentNot stated
LevelNot stated
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
ABOUT QUINCE  Founded in 2018, Quince was built to challenge the idea that nice things have to cost a lot. Our mission is simple: to make really high quality essentials for really low prices, produced fairly and sustainably. We believe everyone deserves exceptional craftsmanship and timeless design without the traditional markups. Quince is a direct-to-consumer (DTC) model that cuts out middlemen and leverages just-in-time manufacturing to minimize waste and maximize value. Quince is a tech company disrupting the retail industry by putting AI, analytics and automation at the center of everything we do. Our unwavering commitment to excellence and company values guide our teams and actions: Customer First : We prioritize customer satisfaction in every decision. High Quality : True quality means premium materials and rigorous production standards you can feel good about. Essential Design : We focus on timeless, functional essentials instead of chasing trends. Always a Better Deal : Innovation and transparency ensure value for both customers and partners. Social & Environmental Responsibility : We commit to sustainable materials, ethical production, and fair wages. Quince partners with world-class manufacturers across the globe and serves millions of customers. With strong investor backing and a focus on sustainable growth, we are a company that is rapidly scaling while maintaining a commitment to quality, simplicity, and radical price transparency. OUR TEAM AND SUCCESS  At Quince, you will be part of a high-performing team that is redefining what quality, value, and sustainability mean in modern retail. We are a destination for builders, innovators, and operators to come together and challenge the status quo. Our collective ambition is bold. We are creating an entirely new category and customer experience – one that democratizes luxury and provides high quality products at radically low prices. That mission demands a world-class team committed to excellence.  If you are motivated by impact, growth, and purpose, you will find a strong sense of belonging at Quince. THE ROLE Staff Data Scientist, Planning and Forecasting Quince is building its own supply chain planning science capability from scratch. This includes demand forecasting at multiple geographic scales, methodology-agnostic forecasting tournaments, inventory placement optimization across a growing international network, vendor performance modelling, and the raw material signal generation that links the forecast back to procurement before failures happen. The Staff Data Scientist sets the science charter and writes the roadmap, driving its load-bearing components end-to-end. You’ll be the deep specialist on a broad mandate (the forecasting tournament implementation, the inventory placement model, the vendor performance system) with full ownership of the methodology, the production model, and the iteration loop. You’ll work closely with charter leadership, mentor the DS3s and DS2s on the team, and partner directly with planning operators. We expect AI-native science. The methodology you bring should already include LLM-aided exploratory work, agentic feature engineering, and AI-augmented experimentation. Your standards for what counts as a real result should be high enough that AI assistance accelerates rather than dilutes them. The ideal candidate has roughly a decade of applied data science or operations research experience, with deep expertise in one or two domains relevant to supply chain planning. They’ve owned modelling workstreams end-to-end across multiple companies or products, and they have the craft and the patience to take a hard problem and stay with it until the model actually moves the metric. They are excellent at being given an ambiguous problem and solving it exceptionally well. They mentor junior scientists; they earn trust with operators; they ar
HOUSE ADYou found the opening. Now track it.Tracker, radar and AI drafts in one place.erioun.com →