Jobs in Palo Alto, CA

About the role

The Staff Data Scientist sets the science charter and writes the roadmap, driving its load-bearing components end-to-end. You’ll be the deep specialist on a broad mandate (the forecasting tournament implementation, the inventory placement model, the vendor performance system) with full ownership of the methodology, the production model, and the iteration loop. You’ll work closely with charter leadership, mentor the DS3s and DS2s on the team, and partner directly with planning operators.

What you'll bring

• 8+ years of applied data science or operations research experience, with deep expertise in one or two domains relevant to supply chain planning
• Demonstrated ownership of modelling workstreams end-to-end
• from problem framing through production deployment, iteration, and measured business impact
• Real methodological breadth across forecasting and OR: classical, ML, and AI-driven approaches, with informed opinions about which to reach for
• Engineering fluency to own your work end-to-end: feature pipelines, experiments, model serving
• 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
• Track record of mentorship: scientists who became better because they worked with you
• All posted ranges are reflective of base salary and may vary depending upon experience level and location.
• Bonus and equity may also be provided for eligible roles.
• Advanced degree in a quantitative field (Statistics, CS, Operations Research, Engineering, Economics) preferred
• PhD a plus