Develop forecasting models for fleet availability, supply hours, staffing, workload, charging
Translate analytics into strategic recommendations for executive decisions
Evaluate model performance with backtesting and accuracy measures

🎯 Requirements

Build scenario models for staffing, cost, and infrastructure implications
Turn analysis into strategy options, quantify tradeoffs, align senior stakeholders
Combine statistics, ML, and AI tools to improve forecasts
Prototype AI-powered tools to explain drivers and explore scenarios
Comfort with ambiguity in fast-scaling ops

🎁 Benefits

Partner with cross-functional teams to align assumptions and forecasts
Executive communication: crisp writing, storytelling, presentations for C-suite
Currently pursuing a master’s or quantitative field
Influence and manage stakeholders without authority
AI-native skills with LLMs, copilots, APIs, agent frameworks
Understand model evaluation, uncertainty, and oversight

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