Applied Scientist, Personalization, DTx Science
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Job Location:
New York City, NY - USA
Yearly Salary:
$ 136000 - 223400
Posted on:
15 hours ago
Vacancies:
1 Vacancy
Job Summary
Amazon Advertising is one of Amazons fastest growing and most profitable businesses responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
Our team owns personalization guidance and experimentation science and is placed centrally in the organization which owns the Amazon Advertising Console from UX design to components and services. We leverage a breadth of state-of-the-art techniques such as deep learning reinforcement learning LLMs long term causal modeling as well as sophisticated A/B testing to develop personalized experiences with directly quantifiable business and advertiser success outcomes. We are looking for an accomplished machine learning expert to lead the Applied Science strategy for our recommendation creation and recommendation personalziation program.
In this role you will work closely with business leaders stakeholders and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap promote a culture of data-driven decision-making and deliver significant business impact for millions of advertisers worldwide and the company using advanced data techniques and applied science methodologies.
Key job responsibilities
As an Applied Scientist on this team you will
- Serve as the technical leader in Machine Learning driving collaboration between scientists and engineers guiding efforts within the team and collaborating with other teams.
- Conduct hands-on analysis and modeling of large-scale data to generate insights that boost ads revenue while maintaining a positive advertiser and shopper experience.
- Lead end-to-end Machine Learning projects that involve high levels of ambiguity scale and complexity.
- Build experiment optimize and deploy machine learning models collaborating with software engineers to bring your models into production.
- Run A/B experiments gather data and perform statistical analysis to validate your models.
- Develop scalable and automated processes for large-scale data analysis model development validation and serving.
- Explore and research innovative machine learning approaches to push the boundaries of whats possible.
- 3 years of building models for business application experience
- PhD or Masters degree and 5 years of CS CE ML or related field experience
- 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.
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.
Our team owns personalization guidance and experimentation science and is placed centrally in the organization which owns the Amazon Advertising Console from UX design to components and services. We leverage a breadth of state-of-the-art techniques such as deep learning reinforcement learning LLMs long term causal modeling as well as sophisticated A/B testing to develop personalized experiences with directly quantifiable business and advertiser success outcomes. We are looking for an accomplished machine learning expert to lead the Applied Science strategy for our recommendation creation and recommendation personalziation program.
In this role you will work closely with business leaders stakeholders and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap promote a culture of data-driven decision-making and deliver significant business impact for millions of advertisers worldwide and the company using advanced data techniques and applied science methodologies.
Key job responsibilities
As an Applied Scientist on this team you will
- Serve as the technical leader in Machine Learning driving collaboration between scientists and engineers guiding efforts within the team and collaborating with other teams.
- Conduct hands-on analysis and modeling of large-scale data to generate insights that boost ads revenue while maintaining a positive advertiser and shopper experience.
- Lead end-to-end Machine Learning projects that involve high levels of ambiguity scale and complexity.
- Build experiment optimize and deploy machine learning models collaborating with software engineers to bring your models into production.
- Run A/B experiments gather data and perform statistical analysis to validate your models.
- Develop scalable and automated processes for large-scale data analysis model development validation and serving.
- Explore and research innovative machine learning approaches to push the boundaries of whats possible.
- 3 years of building models for business application experience
- PhD or Masters degree and 5 years of CS CE ML or related field experience
- 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.
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.
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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