Sr. Economist, Advertising Incrementality Measurement
Amazon, New York, NY, United States
Sr. Economist, Advertising Incrementality Measurement
Job ID: 10400092 | Amazon.com Services LLC
Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning/DNN, raising the science bar, and connecting leading‑edge science research to Amazon‑scale implementation? If so, come join Amazon Ads to be an Economist leader within our Advertising Incrementality Measurement science team!
Key job responsibilities
As an Economist leader within the Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing key workstreams within our overall causal measurement science vision. In particular, you may lead the development of experimental methodologies to measure ad effectiveness, build observational models that lay the foundations for understanding the impact of individual ad touchpoints for billions of daily ad interactions, and invent scalable causal measurement solutions that support highly accurate and actionable insights—from defining and executing hundreds of thousands of RCTs to developing an exciting science R&D agenda.
You will work on a team of Applied Scientists, Economists, and Data Scientists, alongside a dedicated Engineering team, to work backwards from customer needs and translate product ideas into concrete science deliverables. You will also interface with leadership to define our future vision and help shape the future of Amazon Advertising.
About the team
AIM is a cross‑disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting millions in advertising spend.
Basic Qualifications
PhD in economics or equivalent
Preferred Qualifications
Experience in analytics and applied economics
Experience in developing and executing an analytic vision to solve business-relevant problems
Experience building statistical models using R, Python, STATA, or a related software
Experience in industry, consulting, government or academic research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We empower Amazonians to deliver the best results for our customers.
Benefits
The base salary range for this position is $175,100.00 – $236,900.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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Job ID: 10400092 | Amazon.com Services LLC
Do you want to lead the Ads industry and redefine how we measure the effectiveness of Amazon Ads business? Are you passionate about causal inference, Deep Learning/DNN, raising the science bar, and connecting leading‑edge science research to Amazon‑scale implementation? If so, come join Amazon Ads to be an Economist leader within our Advertising Incrementality Measurement science team!
Key job responsibilities
As an Economist leader within the Advertising Incrementality Measurement (AIM) science team, you are responsible for defining and executing key workstreams within our overall causal measurement science vision. In particular, you may lead the development of experimental methodologies to measure ad effectiveness, build observational models that lay the foundations for understanding the impact of individual ad touchpoints for billions of daily ad interactions, and invent scalable causal measurement solutions that support highly accurate and actionable insights—from defining and executing hundreds of thousands of RCTs to developing an exciting science R&D agenda.
You will work on a team of Applied Scientists, Economists, and Data Scientists, alongside a dedicated Engineering team, to work backwards from customer needs and translate product ideas into concrete science deliverables. You will also interface with leadership to define our future vision and help shape the future of Amazon Advertising.
About the team
AIM is a cross‑disciplinary team of engineers, product managers, economists, data scientists, and applied scientists with a charter to build scientifically rigorous causal inference methodologies at scale. Our job is to help customers cut through the noise of the modern advertising landscape and understand what actions, behaviors, and strategies actually have a real, measurable impact on key outcomes. The data we produce becomes the effective ground truth for advertisers and partners making decisions affecting millions in advertising spend.
Basic Qualifications
PhD in economics or equivalent
Preferred Qualifications
Experience in analytics and applied economics
Experience in developing and executing an analytic vision to solve business-relevant problems
Experience building statistical models using R, Python, STATA, or a related software
Experience in industry, consulting, government or academic research
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. We empower Amazonians to deliver the best results for our customers.
Benefits
The base salary range for this position is $175,100.00 – $236,900.00 USD annually. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits, including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
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