Senior Applied Scientist, Advertising Incrementality

Amazon Inc.; New York (NY); On-site; USD 172,000 - 223,000; 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 an Applied Scientist II in New York to lead measurement models for Advertising Incrementality. You will apply ML/DL, causal inference, and econometric methods to quantify ad impact at scale and translate insights into production features and tools.

You will collaborate with engineers, product managers, and economists to define business questions, build rigorous models, and document research for broader Amazon scientific communities.

Qualifications

• 3+ years of building models for business application experience.
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
• Experience programming in Java, C++, Python or related language.

Responsibilities

• Apply ML/DL, AI, and causal modeling to develop new models describing advertising impact.
• Own end-to-end development of novel scientific models for business stakeholders.
• Improve and simplify existing solutions and frameworks.
• Review and audit modeling processes and results for junior and senior scientists.
• Work with leadership to align scientific developments with business strategy.
• Identify new opportunities suggested by data insights.
• Develop and document scientific research for the wider Amazon science community.

Skills

3+ years modeling

Education

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

Tools

Java

C++

Python

Job description

Amazon.com Services LLC is seeking an Applied Scientist II in New York to lead measurement models for Advertising Incrementality. You will apply ML/DL, causal inference, and econometric methods to quantify ad impact at scale and translate insights into production features and tools.

You will collaborate with engineers, product managers, and economists to define business questions, build rigorous models, and document research for broader Amazon scientific communities.