Forecasting & Optimization Research Scientist

Amazon; Seattle (WA); On-site; USD 126,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Accommodations for disability

Job summary

Amazon's CloudTune team within the eCF organization seeks a Research Scientist to advance forecasting and optimization for capacity planning across AWS. You will formulate problems as constrained optimization, develop demand models, and work with engineers, data scientists, and product managers on impactful research.

The role emphasizes large-scale data, state-of-the-art ML techniques, and cost-efficient deployment to balance availability and expense.

Qualifications

• PhD in a quantitative field, or MS degree with 1+ years of quantitative field research experience.
• Experience applying scientific principles and concepts to business problems and products.
• Experience with data analysis packages (R, SAS, Matlab, etc.).
• Experience using SQL databases to manage and analyze large data sets.

Responsibilities

• Formulate capacity planning and resource allocation challenges as mathematical optimization problems (linear programming, stochastic optimization, mixed-integer programming)
• Develop demand forecasting models using machine learning (XGBoost, quantile regression, deep learning) with risk-aware loss functions tailored to operational objectives
• Design and implement safety stock and retention policy optimization frameworks that balance holding costs against fulfillment risk across constrained and unconstrained capacity pools
• Process and analyze large-scale operational data (order histories, capacity utilization, availability constraints) to identify patterns and inform model development
• Create, enhance, and maintain technical documentation, and present research findings to scientists, engineering teams, and senior leadership

Skills

PhD in a quantitative field or MS with

Data analysis

SQL databases

ML forecasting

Education

PhD in quantitative field

MS in quantitative field

Tools

R

SAS

Matlab

XGBoost

Quantile regression

Job description

Amazon's CloudTune team within the eCF organization seeks a Research Scientist to advance forecasting and optimization for capacity planning across AWS. You will formulate problems as constrained optimization, develop demand models, and work with engineers, data scientists, and product managers on impactful research.

The role emphasizes large-scale data, state-of-the-art ML techniques, and cost-efficient deployment to balance availability and expense.