Staff Data Scientist, Planning and Forecasting

What you'll do

• Own workstreams from methodology and production models through iteration and measured business impact.
• Set rigorous evaluation and experimentation standards, including for AI-assisted science workflows.
• Mentor scientists and partner with planning operators and engineering to turn operational needs into actionable models.

What they ask for

• 8+ years of applied data science or operations research experience, with deep expertise in one or two supply chain planning domains.
• Demonstrated end-to-end ownership of modelling workstreams, from problem framing through production deployment, iteration, and measured business impact.
• Methodological breadth across forecasting and operations research, including classical, ML, and AI-driven approaches.
• Engineering fluency across feature pipelines, experiments, and model serving; detailed examples of AI-native science practice; and a track record of mentoring scientists.

Nice to have

• Advanced degree in a quantitative field; PhD a plus.

Pay

$287,500 — $315,000 USD (base salary)

Tools

LLMs, AI

AI focus

Use LLM-aided exploratory data analysis and feature work, agentic feature discovery, and AI-augmented experimentation; evaluate AI-driven models rigorously alongside other approaches.