Senior Applied Scientist - DSP Demand Tech

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Science is seeking an Applied Scientist III to own the science behind conversion prediction, bidding, ranking, and measurement for non-endemic advertisers on our DSP platform. You will design models that perform well with sparse signals and work across offline and online experiments to improve advertiser outcomes.

You will mentor teammates, collaborate with product and engineering, and contribute to scalable solutions that impact how brands invest on our platform.

Qualifications

• 3+ years building ML models for business applications.
• PhD, or Master's degree with 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 ML models for sourcing, ranking, and response prediction that optimize advertiser outcomes such as cost per acquisition and return on ad spend.
• Define measurement methodology—including incrementality, weighted conversions, and off-Amazon attribution.
• Partner with engineering, product, and sales-facing teams on deep dives into real enterprise advertiser accounts, turning learnings into scalable model and system improvements.
• Mentor scientists and engineers, publish internal best practices, and contribute to the broader scientific community.

Skills

Conversion modeling

Online experimentation

Mentoring

Enterprise accounts

Education

PhD

Master's + 6+ yrs research

Tools

Java

C++

Python

R

scikit-learn

Spark MLLib

MxNet

TensorFlow

NumPy

SciPy

Job description

Amazon Science is seeking an Applied Scientist III to own the science behind conversion prediction, bidding, ranking, and measurement for non-endemic advertisers on our DSP platform. You will design models that perform well with sparse signals and work across offline and online experiments to improve advertiser outcomes.

You will mentor teammates, collaborate with product and engineering, and contribute to scalable solutions that impact how brands invest on our platform.