Staff Data Scientist (Planning and Forecasting)

Join our team as a Staff Data Scientist specializing in Planning and Forecasting. In this role, you will set the science charter, drive the roadmap, and have full ownership of key methodologies and models. You will work closely with charter leadership, mentor junior team members, and partner directly with planning operators. Your expertise in statistical, ML, and AI-driven methods will be essential, and you will set the standard for experimentation discipline within the science team. Additionally, you will hold the methodological line in business conversations and track the impact of your work on the business.

• Assumer la responsabilité de l'implémentation du tournoi de prévision, de l'optimisation de l'emplacement des stocks et du système de performance des fournisseurs.
• Collaborer avec l'équipe d'ingénierie des outils de planification pour définir les besoins de votre flux de travail et les contraintes de production.
• Mentorer les scientifiques de l'équipe, élever le niveau méthodologique des personnes qui vous entourent par le biais de la révision de code, de la discussion de conception et de l'enseignement direct.
• Engineering fluency to own your work end-to-end: feature pipelines, experiments, model serving
• Track record of mentorship: scientists who became better because they worked with you
• AI-native science practice you can speak to in detail with examples of where AI tooling materially changed how you do science, and where you held your standards against it
• 8+ years of applied data science or operations research experience, with deep expertise in one or two domains relevant to supply chain planning
• Real methodological breadth across forecasting and OR: classical, ML, and AI-driven approaches, with informed opinions about which to reach for
• Demonstrated ownership of modelling workstreams end-to-end; from problem framing through production deployment, iteration, and measured business impact
• Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred; PhD a plus