Senior Applied Scientist , EC2 Optimization Science

About the role

The AWS Elastic Compute Cloud (EC2) Capacity Org is seeking an experienced applied optimization expert to join the Optimization Science Team. This leader will design, implement, and scale decision-making algorithms to manage EC2’s virtual and physical capacity systems.

Responsibilities

• Design and implement optimization algorithms to manage EC2’s capacity availability and forecasting systems.
• Collaborate with engineering and product management orgs within EC2, as well as the AWS Infrastructure Supply Chain (AIS) organization.
• Apply mathematical optimization techniques, including robust and stochastic optimization, to decision-making processes.
• Develop prescriptive optimization models with inputs from ML or statistical models and business users.
• Validate solutions through simulations and/or production A/B tests.
• Communicate results to guide the direction of the business and work with software development teams to implement ideas in code.
• Develop creative, novel, and data-driven approaches to improve cloud compute offerings and define new ones.

Requirements

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent, or Master's degree and 4+ years of building machine learning models or developing algorithms for business applications.
• In-depth knowledge of optimization mathematics such as linear programming and nonlinear optimization.
• In-depth knowledge of continuous and discrete optimization methods and their use of tools and latest technology (e.g., CPLEX, Gurobi, XPRESS).
• Experience in prototyping and developing software in traditional programming languages (e.g., C++, Java, Python, Julia) using mathematical solver interfaces.
• Good writing skills to document models and analyses and present business cases with results/conclusions.

Qualifications

• Knowledge of quantitative data analysis and statistics.
• Experience in decision-making under uncertainty, such as using robust or stochastic optimization.

Skills

• Strong background in mathematical optimization with excellent modeling skills.
• Expertise in the numerical solution of continuous and discrete problems using exact and heuristic methods applied to very large-scale problems.
• Experience with decision-making under uncertainty; e.g., robust or stochastic optimization.
• Experience applying ML/Gen AI methods to enhance and improve optimization algorithms or optimization-based decision-making systems.

Benefits

Amazon offers comprehensive benefits including health insurance, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage, 401(k) matching, paid time off, and parental leave.

Pay

$167,100.00 - $226,100.00 USD annually

Schedule

Full-time