Economist, Causal Ads Measurement & Impact

Amazon; New York (NY); On-site; USD 157,000 - 213,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

RSUs

Job summary

Amazon in New York, NY is seeking an Economist to lead the design, implementation, and validation of large-scale causal inference methodologies for incrementality measurement in advertising. You will collaborate with scientists and engineers, communicating results to leaders and driving production deployments.

The role requires a PhD in economics and experience with Python, SQL, and modern ML methods; 2+ years in related research is preferred.

Qualifications

• PhD in economics or equivalent required.
• 2+ years of industry, consulting, government, or academic research experience.
• Experience in data mining (SQL, ETL, data warehouse, etc.) and handling large complex datasets.
• Experience implementing modern ML methods (boosted trees, RF, NN).
• Experience in advertising or related problems is a plus.

Responsibilities

• Leverage deep expertise in causal inference to develop robust, causally grounded ads measurement solutions.
• Disambiguate problems to propose clear evaluation frameworks and success criteria.
• Work autonomously and write high quality technical documents.
• Partner closely with other scientists to deliver large, multi-faceted technical projects.
• Share and publish works with the broader scientific community through meetings and conferences.
• Communicate results clearly to both technical and non-technical audiences and leaders.
• Contribute new ideas that shape the direction of the team's work.
• Mentor junior scientists and participate in the hiring process.

Skills

Causal inference

Python

SQL

Machine learning

Data mining

Education

PhD in economics

Job description

Amazon in New York, NY is seeking an Economist to lead the design, implementation, and validation of large-scale causal inference methodologies for incrementality measurement in advertising. You will collaborate with scientists and engineers, communicating results to leaders and driving production deployments.

The role requires a PhD in economics and experience with Python, SQL, and modern ML methods; 2+ years in related research is preferred.