Senior Research Scientist, Automated Marketing and Events
Senior Research Scientist, Automated Marketing and Events
Posted on :
23-05-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 143300 - 247600
Vacancy
1 Vacancy
Posted on :
23-05-2025
Job Description
Amazons Automated Marketing and Experiences (AME) team is building the Internets largestscale Search and Social Marketing systems. We are looking for an inquisitive life long learner with a keen interest on evidence driven decision making ecommerce and understanding of customer behavior with digital marketing. We are seeking a researcher with interest in ecommerce industry and relevant experience to leverage and help evolve our offsite marketing experimentation frameworks. Our candidate will have strong causal inference experimental design decision theory and bayesian statistics background. This is a role to flesh out a nascent new program that aspires to shape industry trends. So this is genuinely a unique opportunity for candidates to emerge as world class experts in a fast evolving ever green domain.
Our mission is to engage customers with the right products and services to enable a great shopping experience. You will go home and show your family and friends why they receive this ad on your search engine or via social media applications from Amazon. You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. Stateoftheart technology and algorithms including econometric methods statistical modeling machine learning and data mining are the core of our business. Marketing drives a large portion of Amazons traffic and business and represents a unique opportunity to drive impact on the companys bottom line. We also focus on developing novel A/B experimentation mechanisms to measure efficacy of our ML solutions. With essentially full ownership of our own product roadmap there is a large R&D component to our work with together with sound business understanding and an appetite for innovation are highly valued.
Key job responsibilities
Design and build scalable analytic solutions using statistical models to measure the business impact of cross channel marketing treatments.
Work closely with both business units and engineering teams to formulate business problems in experimental designs and associated technical solution strategies.
Develop a library of measurement solutions to enable datadriven decision making.
Provide inputs to the product roadmap emphasizing research and development (R&D) to continuously enhance bidding capabilities.
Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to nonexperts.
A day in the life
As a Senior Research Scientist on our team you will leverage you strong background in statistics and causal inference to help build the next generation of offsite marketing experimentation frameworks. This role requires a pragmatic technical leader comfortable with ambiguity capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with causal inference experimental design decision theory and bayesian statistics. We are particularly interested in experience in building large scale marketing experimentation frameworks.
About the team
We are a team of scientists who are set to build solutions in production. We work on prediction optimization and experimentation problems to provide datadriven inputs to marketing decisions and build highly scalable statistical frameworks and machine learning models across Automated Marketing and Events (AME) org to drive longterm profitability. Specifically the team focuses on building reusable science solutions to address three focal areas: (i) Content selection creation and moderation (ii) Bidding which involves valuation efficiency management and netprofit maximization via elasticity measurement and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis. efficiency management and netprofit maximization via elasticity measurement and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis.
PhD or Masters degree and 6 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Knowledge of R or Python
Advanced proficiency with statistical modeling experimental design and machine learning algorithms.
Ability to research identify evaluate and implement modeling solutions for complex business problems.
Communicating scientific research and tradeoffs for long and shortterm objectives to stakeholders from senior business leaders to highly technical engineering teams.
Experience converting research studies into tangible realworld changes
Experience with discrete and continuous optimization methodologies and algorithms
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 $143300/year in our lowest geographic market up to $247600/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.
Our mission is to engage customers with the right products and services to enable a great shopping experience. You will go home and show your family and friends why they receive this ad on your search engine or via social media applications from Amazon. You will make a difference by improving the relevancy for customers and optimizing the investment level for Amazon. Stateoftheart technology and algorithms including econometric methods statistical modeling machine learning and data mining are the core of our business. Marketing drives a large portion of Amazons traffic and business and represents a unique opportunity to drive impact on the companys bottom line. We also focus on developing novel A/B experimentation mechanisms to measure efficacy of our ML solutions. With essentially full ownership of our own product roadmap there is a large R&D component to our work with together with sound business understanding and an appetite for innovation are highly valued.
Key job responsibilities
Design and build scalable analytic solutions using statistical models to measure the business impact of cross channel marketing treatments.
Work closely with both business units and engineering teams to formulate business problems in experimental designs and associated technical solution strategies.
Develop a library of measurement solutions to enable datadriven decision making.
Provide inputs to the product roadmap emphasizing research and development (R&D) to continuously enhance bidding capabilities.
Superior verbal and written communication and presentation skills ability to convey rigorous mathematical concepts and considerations to nonexperts.
A day in the life
As a Senior Research Scientist on our team you will leverage you strong background in statistics and causal inference to help build the next generation of offsite marketing experimentation frameworks. This role requires a pragmatic technical leader comfortable with ambiguity capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with causal inference experimental design decision theory and bayesian statistics. We are particularly interested in experience in building large scale marketing experimentation frameworks.
About the team
We are a team of scientists who are set to build solutions in production. We work on prediction optimization and experimentation problems to provide datadriven inputs to marketing decisions and build highly scalable statistical frameworks and machine learning models across Automated Marketing and Events (AME) org to drive longterm profitability. Specifically the team focuses on building reusable science solutions to address three focal areas: (i) Content selection creation and moderation (ii) Bidding which involves valuation efficiency management and netprofit maximization via elasticity measurement and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis. efficiency management and netprofit maximization via elasticity measurement and (iii) Scalable Experimentation frameworks and statistical techniques for designing and performing causal analysis.
PhD or Masters degree and 6 years of investigating the feasibility of applying scientific principles and concepts to business problems and products experience
Masters degree in engineering technology computer science machine learning robotics operations research statistics mathematics or equivalent quantitative field
Knowledge of R or Python
Advanced proficiency with statistical modeling experimental design and machine learning algorithms.
Ability to research identify evaluate and implement modeling solutions for complex business problems.
Communicating scientific research and tradeoffs for long and shortterm objectives to stakeholders from senior business leaders to highly technical engineering teams.
Experience converting research studies into tangible realworld changes
Experience with discrete and continuous optimization methodologies and algorithms
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 $143300/year in our lowest geographic market up to $247600/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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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