Senior Data Scientist, Planning and Forecasting

Quince is building its own supply chain planning science capability from scratch. This involves demand forecasting at multiple geographic scales, methodology-agnostic forecasting tournaments, inventory placement optimization across a growing international network, vendor performance modelling, raw material signal generation. The agenda is wide, the data is rich, and the business consequence is direct.

As a senior data scientist on this team, you’ll own modelling workstreams within that agenda. You’ll work alongside the charter leadership setting the science roadmap and the engineering team building the platform around your work. This role comes with ample scope to do real, end-to-end science, and enough engineering support that models you build actually run.

We expect AI-native science. Modern forecasting and OR work makes regular use of LLM-aided EDA, agentic feature engineering, and AI-augmented experimentation infrastructure; we want a scientist who already builds this way.

The ideal candidate is a senior data scientist with 5-8 years of production experience, who has owned modelling workstreams from problem framing through deployment and iteration. They are opinionated about methodology, what it takes to design a defensible forecasting tournament, and how to handle demand patterns that don’t behave.