Senior Applied Scientist - Optimization & Market Design

Amazon; Seattle (WA); On-site; USD 136,000 - 226,000; Full time

Job summary

Amazon's Stores Economics and Science (SEAS) team in Seattle attracts top talent to push the boundaries of optimization and mechanism design. You will lead research from concept to production, transforming complex business problems into scalable algorithms and models.

You will publish results, mentor junior scientists, and collaborate with internal teams to deliver measurable improvements in marketplace efficiency, seller incentives, and inventory optimization.

Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics, or equivalent quantitative field, or PhD and 5+ years of industry or academic research experience
• Experience in at least one of the related science disciplines (optimization - LP, MIP, statistics, machine learning, process control, combinatorial optimization)
• Experience leading the design, build and deployment of complex and performant (reliable and scalable) software solutions in production
• Experience effectively communicating complex concepts through written and verbal communication

Responsibilities

• Lead large-scale science initiatives from research to production and translate complex business problems into mathematical frameworks
• Design and implement large-scale optimization algorithms for complex supply chain and marketplace problems
• Design incentive-compatible mechanisms for marketplace challenges including auction design, matching algorithms, and pricing strategies
• Mentor 2-4 junior scientists and foster team growth while collaborating effectively across functions
• Influence senior stakeholders and shape technical direction to deliver measurable business impact

Skills

Java

C++

Python

Communication skills

Leadership

Problem solving

Education

PhD in econometrics or statistics

Master's degree in quantitative field

Tools

R

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Hadoop

Spark

Job description

Amazon's Stores Economics and Science (SEAS) team in Seattle attracts top talent to push the boundaries of optimization and mechanism design. You will lead research from concept to production, transforming complex business problems into scalable algorithms and models.

You will publish results, mentor junior scientists, and collaborate with internal teams to deliver measurable improvements in marketplace efficiency, seller incentives, and inventory optimization.