Applied Scientist II – Traffic & Network Forecasting

Amazon

Seattle (WA)

On-site

USD 142,000 - 193,000

Full time

14 days+

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Job summary

Amazon is seeking an Applied Scientist II to advance traffic and network modeling for AWS. You will build ML models for forecast and capacity optimization, and collaborate with network engineers, software developers, and supply chain specialists to translate complex infrastructure problems into scalable scientific solutions.

You will drive research, deliver production-grade forecasts with low latency, and own projects from hypothesis to deployment, while contributing to rigorous scientific

Qualifications

3+ years of building models for business application experience.
PhD, or Master's degree with 4+ years in CS/CE/ML.
Publications or patents at top-tier venues preferred.
Proficiency in Java, C++, Python (or similar).
Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel/distributed computing, HPC.

Responsibilities

Drive hypothesis-driven research to inform business and product decisions for network traffic modeling.
Build production systems delivering low-latency forecast predictions and scalable throughput.
Own projects end-to-end from needs gathering to long-term impact.
Contribute to code reviews, design discussions, and mentoring.

Skills

Java

C++

Python

Algorithms and data structures

Numerical optimization

Parallel and distributed computing

High-performance computing

Education

PhD or MS + 4+ years CS/CE/ML

Job description

You will drive research, deliver production-grade forecasts with low latency, and own projects from hypothesis to deployment, while contributing to rigorous scientific

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