Senior Applied Scientist, Advertising Incrementality

Amazon; 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 in New York seeks a science leader to advance Advertising Incrementality Measurement. You will apply ML/DL, AI, and causal inference to quantify advertising impact and translate data into actions for customers.

You will collaborate with engineers, economists, and product managers to productionize models, audit workflows, and document research for the wider Amazon science community.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master’s with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, and Python.
• Expertise in algorithms, data mining, and parallel computing.

Responsibilities

• Apply ML/DL, AI, and causal modeling to develop 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 others.

Skills

Python

Java

C++

Machine Learning

Deep Learning

Causal Inference

Big Data

Education

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

Tools

Unix/Linux

Job description

Amazon in New York seeks a science leader to advance Advertising Incrementality Measurement. You will apply ML/DL, AI, and causal inference to quantify advertising impact and translate data into actions for customers.

You will collaborate with engineers, economists, and product managers to productionize models, audit workflows, and document research for the wider Amazon science community.