Research Scientist: Inbound Optimization & ML

Amazon Inc.; New York (NY); On-site; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking a Research Scientist within the Supply Chain Optimization Technologies (SCOT) group in New York. You will design and implement research projects focused on inbound placement decisions and capacity management, working with BI engineers and product managers to create data-driven policies.

You will apply modeling, statistics, and simulation to evaluate benefits, potential outcomes, and costs in our large-scale fulfillment network, leveraging machine learning and

Qualifications

• PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
• Experience with quantitative field research.
• Experience with programming languages such as Python, Java, C++.

Responsibilities

• Design, develop, and implement scientific research projects for SCOT inbound placement and capacity management.
• Build models, run simulations, and evaluate policy performance and impacts on cost, reliability, and speed.
• Collaborate with scientists, BI engineers, and product managers to apply statistical inference and ML to real-world problems.

Skills

Python

Java

C++

Education

PhD in engineering/ CS/ statistics or equivalent','weight":10}],

Job description

Amazon.com Services LLC is seeking a Research Scientist within the Supply Chain Optimization Technologies (SCOT) group in New York. You will design and implement research projects focused on inbound placement decisions and capacity management, working with BI engineers and product managers to create data-driven policies.

You will apply modeling, statistics, and simulation to evaluate benefits, potential outcomes, and costs in our large-scale fulfillment network, leveraging machine learning and