Research Scientist Ads Measurement Science
Research Scientist Ads Measurement Science
Posted on :
23-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 136000 - 212800
Vacancy
1 Vacancy
Posted on :
23-04-2025
Job Description
The Ads Measurement Science team in the Measurement Ad Tech and Data Science (MADS) team of Amazon Ads serves a centralized role developing solutions for a multitude of performance measurement products. We create solutions which measure the comprehensive impact of their ad spend including sales impacts both online and offline and across timescales and provide actionable insights that enable our advertisers to optimize their media portfolios. We leverage a host of scientific technologies to accomplish this mission including Generative AI classical ML Causal Inference Natural Language Processing and Computer Vision.
As a Research Scientist on the team you will lead measurement solutions endtoend from inception to production. You will propose design analyze and productionize models to provide novel measurement insights to our customers.
Key job responsibilities
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
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 multifaceted technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and nontechnical audiences
Contribute new ideas that shape the direction of the teams work
Mentor more junior scientists and participate in the hiring process
About the team
We are a team of scientists across Applied Research Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML NLP CV Gen AI and Causal Inference with a diverse range of backgrounds. We partner closely with topnotch engineers product managers sales leaders and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Team Video: PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Knowledge of R MATLAB Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
As a Research Scientist on the team you will lead measurement solutions endtoend from inception to production. You will propose design analyze and productionize models to provide novel measurement insights to our customers.
Key job responsibilities
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
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 multifaceted technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and nontechnical audiences
Contribute new ideas that shape the direction of the teams work
Mentor more junior scientists and participate in the hiring process
About the team
We are a team of scientists across Applied Research Data Science and Economist disciplines. You will work with colleagues with deep expertise in ML NLP CV Gen AI and Causal Inference with a diverse range of backgrounds. We partner closely with topnotch engineers product managers sales leaders and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Team Video: PhD or Masters degree and 4 years of quantitative field research experience
Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
Experience analyzing both experimental and observational data sets
Knowledge of R MATLAB Python or similar scripting language
Experience with agile development
Experience building web based dashboards using common frameworks
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136000/year in our lowest geographic market up to $212800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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