Applied Scientist, WW Integrated Marketing Systems & Intelligence
Applied Scientist, WW Integrated Marketing Systems & Intelligence
Posted on :
04-07-2025
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1 Vacancy
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Job Description
WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to develop machine learning solutions that transform how Amazon reaches and engages customers at global scale.
In this role you will partner with scientists engineers and product managers across the US and EU to design and deploy models that power personalized automated marketing across the funnelfrom awareness to conversion. You will take ownership of the end-to-end scientific process: from problem framing and data exploration to model development evaluation and deployment in production systems.
You will work on high-impact customer-facing initiatives that require innovative use of ML and statistical methods including response prediction content selection attribution modeling and experimentation design. Your ability to combine deep analytical thinking with a strong understanding of scalable systems will be key to delivering measurable business value.
To be successful you must be comfortable working independently in a fast-paced environment balancing short-term delivery with long-term innovation. You should demonstrate scientific rigor strong coding and modeling skills and the ability to communicate complex ideas clearly to both technical and business stakeholders.
Key job responsibilities
WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to transform how Amazon reaches and engages customers at global scale. WIMSIs mission is to build the most measurably effective creatively impactful and cross-channel campaigning capabilities possible with the aim of growing big-bet programs strengthening positive brand perceptions and increasing long-term free cash flow. As a science team were tackling complex challenges in marketing incrementality measurement optimization and audience segmentation. In this role youll collaborate with a diverse team of scientists and economists to build and enhance causal measurement optimization and prediction models for Amazons global multi-billion dollar fixed marketing budget. Youll also work closely with various teams to develop scientific roadmaps drive innovation and influence key resource allocation decisions.
Key job responsibilities
- Innovating scalable marketing methodologies using causal inference and machine learning.
- Developing interpretable models that provide actionable business insights.
- Collaborating with engineers to automate and scale scientific solutions.
- Engaging with stakeholders to ensure effective adoption of scientific products.
- Presenting findings to the Amazon Science community to promote excellence and knowledge-sharing.
About the team
The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazons marketing funnelfrom brand-building to product discovery and conversion.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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.
In this role you will partner with scientists engineers and product managers across the US and EU to design and deploy models that power personalized automated marketing across the funnelfrom awareness to conversion. You will take ownership of the end-to-end scientific process: from problem framing and data exploration to model development evaluation and deployment in production systems.
You will work on high-impact customer-facing initiatives that require innovative use of ML and statistical methods including response prediction content selection attribution modeling and experimentation design. Your ability to combine deep analytical thinking with a strong understanding of scalable systems will be key to delivering measurable business value.
To be successful you must be comfortable working independently in a fast-paced environment balancing short-term delivery with long-term innovation. You should demonstrate scientific rigor strong coding and modeling skills and the ability to communicate complex ideas clearly to both technical and business stakeholders.
Key job responsibilities
WW Integrated Marketing Systems and Intelligence (WIMSI) is seeking a highly motivated Applied Scientist to transform how Amazon reaches and engages customers at global scale. WIMSIs mission is to build the most measurably effective creatively impactful and cross-channel campaigning capabilities possible with the aim of growing big-bet programs strengthening positive brand perceptions and increasing long-term free cash flow. As a science team were tackling complex challenges in marketing incrementality measurement optimization and audience segmentation. In this role youll collaborate with a diverse team of scientists and economists to build and enhance causal measurement optimization and prediction models for Amazons global multi-billion dollar fixed marketing budget. Youll also work closely with various teams to develop scientific roadmaps drive innovation and influence key resource allocation decisions.
Key job responsibilities
- Innovating scalable marketing methodologies using causal inference and machine learning.
- Developing interpretable models that provide actionable business insights.
- Collaborating with engineers to automate and scale scientific solutions.
- Engaging with stakeholders to ensure effective adoption of scientific products.
- Presenting findings to the Amazon Science community to promote excellence and knowledge-sharing.
About the team
The Worldwide Integrated Marketing Systems and Intelligence (WIMSI) Tech team builds foundational technology for Amazons marketing funnelfrom brand-building to product discovery and conversion.
- 3 years of building models for business application experience
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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 $223400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on 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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