Applied Scientist, Optimization & Logistics

What you'll do

• Formulate operational problems and develop optimization, forecasting, or simulation solutions.
• Evaluate models through offline analysis, backtests, and live experiments, measuring operational impact.
• Partner with engineering, operations, product, and leadership to deploy systems and communicate tradeoffs.

What they ask for

• Strong foundations in operations research or optimization, including modeling, algorithms, experimental design, and evaluation.
• Strong Python and SQL skills, familiarity with standard optimization and ML libraries, and ability to run experiments end to end.
• Fluency with AI coding assistants such as Claude Code or Cursor in daily development.
• Ability to turn ambiguous problems into well-posed optimization or forecasting tasks and account for uncertainty and operational constraints.

Nice to have

• Depth in vehicle routing, scheduling, stochastic optimization, simulation, queueing, or demand forecasting.
• Experience shipping production optimization or decision systems, or working with supply-and-demand matching in marketplace, dispatch, or field operations.

Pay

$160K – $220K (base salary)

Tools

Python, SQL, Claude Code, Cursor

AI focus

Develop machine-learning and decision systems for logistics, including visit-duration and cancellation prediction; use AI coding assistants in development.