Staff Data Scientist, Planning and Forecasting

Quince
Palo Alto
Workplace: OnsiteFull timeUSD 250,000 - 285,000 annuallyFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Mentorship","Experimentation rigor","Problem framing","Partnership","Methodological rigor"]

Build Quince’s supply chain planning science from the ground up—owning forecasting tournaments, inventory placement optimization, vendor performance modeling, and raw-material signal pipelines. Set the science charter and methodology standards, drive experimentation rigor with AI-native workflows, and partner with planning operators to turn operational reality into actionable decisions. Mentor DS2/DS3 scientists and collaborate with Planning Tools engineering to translate platform needs into end-to-end delivery.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Quince
Quince
1 month ago

Staff Data Scientist, Planning and Forecasting

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build Quince’s supply chain planning science from the ground up—owning forecasting tournaments, inventory placement optimization, vendor performance modeling, and raw-material signal pipelines. Set the science charter and methodology standards, drive experimentation rigor with AI-native workflows, and partner with planning operators to turn operational reality into actionable decisions. Mentor DS2/DS3 scientists and collaborate with Planning Tools engineering to translate platform needs into end-to-end delivery.
Location: Palo Alto
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Own science workstreams end-to-end, including forecasting tournament implementation, inventory placement optimization, vendor performance systems, and raw material signal pipelines.
  • •Set methodological standards for model selection, defensible evaluation, and handling sparse/noisy data.
  • •Partner with Planning Tools engineering on platform needs and production constraints.
  • •Drive experimentation discipline with clean splits, honest backtests, and willingness to reject hypotheses.
  • •Mentor scientists and raise the team’s methodological floor through code review, design discussions, and direct teaching.

Pay and Benefits

Salary: USD 250,000 - 285,000 annually

Key Requirements

  • •8+ years of applied data science or operations research experience with deep domain expertise in supply chain planning.
  • •End-to-end ownership of modeling workstreams from problem framing through production deployment and measured business impact.
  • •Methodological breadth across forecasting and operations research (classical, ML, and AI-driven approaches).
  • •Engineering fluency to build end-to-end feature pipelines, run experiments, and support model serving.
  • •AI-native science practice, including LLM-aided work and examples where AI tooling changed how science is done while maintaining high standards.
Experience:8+ years
Skills:MentorshipExperimentation rigorProblem framingPartnershipMethodological rigor
Tech Stack:LLMsAIMLEDA

Company Brief

Quince
Quince is a direct-to-consumer brand offering affordable, high-quality apparel, home goods, and essentials—such as cashmere, basics, and home textiles—focused on transparent sourcing and value pricing for customers.
Industry: Direct to Consumer Brands
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: San Francisco, United States
Founded: 2015
WebsiteLinkedIn