Senior Data Scientist, Planning and Forecasting

What you'll do

• Develop and evaluate forecasting and operations research models using rigorous, documented experiments and a tournament framework.
• Deploy, monitor, and iterate on production models in partnership with engineering and planning teams.
• Translate planning operators’ needs into modeling problems and model outputs into actionable decisions.

What they ask for

• 5–8 years of applied data science or operations research experience, with a track record of shipping models that moved business metrics.
• Deep forecasting methodology expertise across statistical, ML, and AI-driven approaches.
• Substantive experience in at least one operations research domain, such as inventory optimization, vendor lead-time modeling, or transportation mode selection.
• Engineering fluency to own feature pipelines, experiments, and model serving; specific AI-native science practice.

Nice to have

• Advanced degree in a quantitative field, such as Statistics, CS, Operations Research, Engineering, or Economics.

Pay

$187,000 — $242,000 USD (base salary)

Tools

LLM-aided EDA, agentic feature discovery, AI-augmented experiment design, feature stores, evaluation harnesses, model registry

AI focus

Use LLM-aided exploratory analysis, agentic feature discovery, and AI-assisted experimentation; evaluate AI-driven forecasting and operations research models alongside statistical and machine-learning approaches, validating AI suggestions before use.