Lead Applied Scientist, Personalization for DTx

Amazon Science; New York (NY); On-site; USD 172,000 - 223,000; Full time

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

Amazon Science's DTx Science team seeks an accomplished machine learning expert to lead the Applied Science strategy for our recommendation creation and personalization program. You will shape the roadmap, collaborate with cross-functional teams, and drive data-driven decisions to improve advertiser and shopper experiences at scale.

You will build and deploy ML models, conduct large-scale analyses, run A/B experiments, and influence product direction across ad consoles worldwide.

Qualifications

• PhD or Master’s degree in CS, CE, ML or related field.
• 3+ years building models for business applications.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Lead the Applied Science strategy for recommendation creation and personalization.
• Drive ML-driven solutions across data analyses, modeling, and experiments.
• Collaborate with scientists, engineers, and business stakeholders to deliver impact.

Skills

Java

C++

Python

Education

PhD or Master’s in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science's DTx Science team seeks an accomplished machine learning expert to lead the Applied Science strategy for our recommendation creation and personalization program. You will shape the roadmap, collaborate with cross-functional teams, and drive data-driven decisions to improve advertiser and shopper experiences at scale.

You will build and deploy ML models, conduct large-scale analyses, run A/B experiments, and influence product direction across ad consoles worldwide.