This position is at Amazon España The selection process will be entirely managed by Amazon España.
-- How does Amazon decide which fulfillment center ships your order, which truck carries it, and how to keep promises across hundreds of millions of packages daily?
How does it decide how many trucks and how much labor are required to ship orders across the network?
SCOT Fulfillment Optimization (FO) owns the optimization and forecasting science behind these decisions.
We are seeking Applied Scientists to join the FO Science experience with optimization solvers a plus) Research experience in one or more: Large-scale mathematical programming (LP, MIP, decomposition methods) Combinatorial optimization (assignment, scheduling, network flows) Multi-objective optimization and control Large-scale time-series forecasting (GenAI models, probabilistic forecasting, uncertainty quantification) Causal inference (spatiotemporal causal modeling, offline policy evaluation) Preferred qualifications Experience building optimization systems that run in production at scale Being comfortable with ambiguity and fast iteration cycles Publications in relevant venues Key job responsibilities Design and implement optimization and forecasting models for large-scale fulfillment problems, from order assignment to network flow control.




Build research prototypes end-to-end: from problem formulation through scalable implementation to production validation.
Analyse complex tradeoffs (cost, speed, capacity, accuracy) and translate findings into actionable recommendations for leadership and operations teams.
Collaborate with engineers to bring science solutions into production systems serving millions of customer orders daily.
A day in the life You formulate an optimization or forecasting problem on a whiteboard with teammates, then prototype it in Python with real data by the afternoon.
You run experiments against production-scale datasets, iterate on the model, and present results to stakeholders who will use them to make network decisions next week.
Some days you dive deep into solver performance; other days you're explaining a Pareto frontier to an operations leader.
You collaborate with large engineering and product teams to bring your solutions into systems serving millions of customers.
Alongside fast-turnaround prototypes, you own long-term research bets, the kind that reshape how Amazon's fulfillment network operates at scale.
Your work goes live.
About the team SCOT Fulfillment Optimization Science

📌 Applied Scientist, Scot Fo (Barcelona)
🏢 Amazon España
📍 Barcelona