Senior Applied Scientist Ad Measurements Science
Senior Applied Scientist Ad Measurements Science
Posted on :
24-04-2025
Employer Active
1 Vacancy
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Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
24-04-2025
Job Description
The Measurement Ad Tech and Data Science (MADS) team at Amazon Ads is at the forefront of developing cuttingedge solutions that help our tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. We develop cuttingedge deterministic algorithms machine learning models causal models and statistical approaches to empower advertisers with insights on the effectiveness of their ads in guiding customers from awareness to purchases. Our insights help advertisers build fullfunnel advertising strategies. We maximize the information we extract from incomplete traffic signals and alternative sources to capture the impact of their ad spending for both Amazon recognized and anonymous traffic. Our vision is to lead the industry in extracting and combining information from several sources to enable advertisers to optimize their return on their ad spend.
As a Senior Applied Scientist on the team you will be at the forefront of innovation developing measurement solutions endtoend from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose design analyze and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertisers investment focusing on scalable and efficient methodologies.
* Collaborate closely with crossfunctional teams including engineering product management and business teams to define and implement measurement solutions.
* Use stateoftheart scientific technologies including Generative AI Classical Machine Learning Causal Inference Natural Language Processing and Computer Vision to develop cuttingedge models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development testing and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists fostering a collaborative and highperforming team culture.
* Foster collaborations between scientists to move faster with broader impact.
* Regularly engage with the broader scientific community with presentations publications and patents.
A day in the life
You will solve realworld problems by getting and analyzing large amounts of data generate business insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video 3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of programming languages such as C/C Python Java or Perl
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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 Senior Applied Scientist on the team you will be at the forefront of innovation developing measurement solutions endtoend from inception to production. You will set the technical vision and innovate on behalf of our customers. You will propose design analyze and productionize models to provide novel measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable advertisers to act upon those metrics.
Key job responsibilities
* Lead the development of ad measurement models and solutions that address the full spectrum of an advertisers investment focusing on scalable and efficient methodologies.
* Collaborate closely with crossfunctional teams including engineering product management and business teams to define and implement measurement solutions.
* Use stateoftheart scientific technologies including Generative AI Classical Machine Learning Causal Inference Natural Language Processing and Computer Vision to develop cuttingedge models that measure the impact of ad spend across multiple platforms and timescales.
* Drive experimentation and the continuous improvement of ML models through iterative development testing and optimization.
* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.
* Mentor and guide junior scientists fostering a collaborative and highperforming team culture.
* Foster collaborations between scientists to move faster with broader impact.
* Regularly engage with the broader scientific community with presentations publications and patents.
A day in the life
You will solve realworld problems by getting and analyzing large amounts of data generate business insights and opportunities design simulations and experiments and develop statistical and ML models. The team is driven by business needs which requires collaboration with other Scientists Engineers and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Team video 3 years of building machine learning models for business application experience
PhD or Masters degree and 6 years of applied research experience
Knowledge of programming languages such as C/C Python Java or Perl
Experience programming in Java C Python or related language
Experience with neural deep learning methods and machine learning
Experience with modeling tools such as R scikitlearn Spark MLLib MxNet Tensorflow numpy scipy etc.
Experience with large scale distributed systems such as Hadoop Spark etc.
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 $150400/year in our lowest geographic market up to $260000/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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