Senior Applied Scientist, Optimization & Marketplace Design

Amazon; New York (NY); On-site; USD 184,000 - 249,000; Full time

Benefits offered by this job

Health insurance

RSUs (restricted stock units)

401(k) matching

Paid time off

Parental leave

Job summary

Amazon SEAS is seeking an accomplished Applied Scientist to lead large-scale science initiatives from research to production. You will translate complex business problems into mathematical frameworks and design optimization algorithms for supply chain and marketplace challenges.

The role requires a strong publication record, cross-functional project coordination, and mentoring junior scientists to deliver measurable impact across teams.

Qualifications

• PhD or Master's degree with 6+ years of applied research experience.
• PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics or equivalent.
• Experience in optimization, statistics, machine learning, or related quantitative fields.

Responsibilities

• Lead large-scale science initiatives from research to production.
• Translate business problems into mathematical frameworks and design optimization algorithms for supply chain and marketplace problems.
• Mentor junior scientists and collaborate across functions to deliver measurable business impact.

Skills

Java

C++

Python

Econometrics/Statistics

Optimization

Data mining

Education

PhD or Master + 6+ years applied research

PhD in econometrics, statistics, industrial engineering, operations research, optimization, data mining, analytics

Tools

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

Job description

Amazon SEAS is seeking an accomplished Applied Scientist to lead large-scale science initiatives from research to production. You will translate complex business problems into mathematical frameworks and design optimization algorithms for supply chain and marketplace challenges.

The role requires a strong publication record, cross-functional project coordination, and mentoring junior scientists to deliver measurable impact across teams.