Data Scientist, Planning and Forecasting

Quince•Palo Alto, CA

1d•$213,000 - $242,000

About The Position

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.

Requirements

Senior Data Scientist experience.
Experience in demand forecasting at multiple geographic scales.
Experience with inventory placement optimization.
Experience with vendor performance modelling.
Experience with raw material signal generation.
AI-native science approach.
Proficiency in LLM-aided EDA.
Proficiency in agentic feature engineering.
Proficiency in AI-augmented experimentation.

Responsibilities

Own modelling workstreams within the supply chain planning science agenda.
Work alongside charter leadership setting the science roadmap.
Collaborate with the engineering team building the platform around your work.
Conduct end-to-end science work.
Utilize LLM-aided EDA, agentic feature engineering, and AI-augmented experimentation in forecasting and OR work.