Applied Scientist, DSP Demand Technology

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

Benefits offered by this job

RSUs

Health insurance

401(k) matching

Job summary

Amazon's Demand Side Platform (DSP) team seeks an Applied Scientist III to own the science behind conversion prediction, bidding, ranking, and measurement for non-endemic advertisers. You will build models and define metrics to optimize cost per acquisition and return on ad spend, in a setting with sparse signals and novel modeling challenges.

You will collaborate with engineering, product, and sales teams, mentor others, and contribute to internal best practices while delivering scalable,

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related language.
• Experience with neural deep learning methods and machine learning.

Responsibilities

• Own the applied‑science roadmap for one or more non‑endemic performance workstreams — from problem framing and experiment design through offline validation, online experimentation, and production launch.
• Design and improve machine learning models for sourcing, ranking, and response prediction that optimize toward advertiser outcomes such as cost per acquisition and return on ad spend.
• Define measurement methodology — including incrementality, weighted conversions, and off‑Amazon attribution — that correctly values an impression when the conversion occurs outside Amazon.
• Partner with engineering, product, and sales‑facing teams on deep dives into real enterprise advertiser accounts, turning account‑level learnings into scalable model and system improvements.
• Mentor scientists and engineers across the organization, publish internal best practices, and contribute to the broader scientific community through peer reviews and publications.

Skills

Java

C++

Python

Neural networks

Education

PhD or Master’s degree + 6+ years of applied research

Tools

R

scikit-learn

Spark MLlib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon's Demand Side Platform (DSP) team seeks an Applied Scientist III to own the science behind conversion prediction, bidding, ranking, and measurement for non-endemic advertisers. You will build models and define metrics to optimize cost per acquisition and return on ad spend, in a setting with sparse signals and novel modeling challenges.

You will collaborate with engineering, product, and sales teams, mentor others, and contribute to internal best practices while delivering scalable,