Applied Scientist II, Advertising Incrementality & Causal ML

Amazon Inc.; Seattle (WA); On-site; USD 172,000 - 223,000; Full time

Job summary

Amazon.com Services LLC is seeking an Applied Scientist II for Advertising Incrementality Measurement in New York. You will lead the development of models describing how ads influence customer actions, using ML/DL and causal inference at scale.

You will own end-to-end model development, collaborate with product and engineering teams, and help shape the business strategies with scientifically rigorous insights.

Qualifications

• 3+ years of building models for business applications.
• PhD or MS with 4+ years in CS/CE/ML or related field.
• Experience programming Java, C++, Python.
• Strong background in algorithms, data structures, data mining, HPC

Responsibilities

• Apply ML/DL, AI, and causal modeling to develop models describing advertising impact.
• Own end-to-end development of scientific models for business stakeholders.
• Improve existing solutions and frameworks.
• Review modeling processes and results for junior and senior scientists.
• Collaborate with leadership to align science with business strategy.
• Identify opportunities from data insights.
• Contribute to department-wide decision making.
• Document research for the broader Amazon science community.

Skills

ML/DL

Causal inference

Java

Python

C++

Big data

Education

PhD in CS/CE/ML

MS with 4+ years in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon.com Services LLC is seeking an Applied Scientist II for Advertising Incrementality Measurement in New York. You will lead the development of models describing how ads influence customer actions, using ML/DL and causal inference at scale.

You will own end-to-end model development, collaborate with product and engineering teams, and help shape the business strategies with scientifically rigorous insights.