Senior Data Scientist (Planning and Forecasting)

Quince

Palo Alto, United States Posted September 11, 2026

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On-site Full-time Senior
Salary Range

$213,000 - $242,000

Job Description

Join Quince, a company dedicated to building its own supply chain planning science capability from scratch. As a Senior Data Scientist, you will own modeling workstreams within a wide agenda that includes demand forecasting, inventory placement optimization, vendor performance modeling, and raw material signal generation. You will work alongside charter leadership and the engineering team, and have ample scope to do real, end-to-end science. The ideal candidate has 5-8 years of production experience, is opinionated about methodology, and can write the feature pipeline, run the experiment, and ship the model serving without waiting for a counterpart to translate.

  • Posséder des compétences en science des données et en recherche opérationnelle, avec une expérience démontrable dans la livraison de modèles qui ont eu un impact sur les indicateurs commerciaux.
  • Diriger des travaux de modélisation dans le cadre de la prévision de la demande, de la modélisation de la performance des fournisseurs, de l'optimisation de l'emplacement des stocks ou de la génération de signaux de matières premières.
  • Collaborer avec les équipes d'ingénierie pour assurer le déploiement, la surveillance et la boucle d'itération des modèles, en veillant à ce qu'ils restent précis à mesure que le monde évolue.
  • Real depth in forecasting methodology (statistical, ML, and AI-driven) with informed opinions about when to reach for which
  • Substantive experience with at least one OR domain: inventory optimization, vendor lead-time modelling, transportation mode selection, or equivalent
  • 5-8 years of applied data science or operations research experience, with a demonstrable track record of shipping models that moved business metrics
  • Engineering fluency to own your work end-to-end: feature pipelines, experiments, model serving
  • AI-native science practice you can speak to specifically (LLM-aided EDA, agentic feature discovery, AI-augmented experimentation) with examples of when you trusted AI output and when you overrode it
  • Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred
Required Skills
data science forecasting supply chain leadership machine learning LLM agents A/B testing statistics
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