Senior Applied Scientist Ads Measurement Science
Senior Applied Scientist Ads Measurement Science
Posted on :
13-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Yearly Salary
$ 150400 - 260000
Vacancy
1 Vacancy
Posted on :
13-04-2025
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 Senior Applied 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.
For this role we are seeking a talented scientist with deep expertise in Gen AI to innovate our product portfolio and ease accessibility to actionable insights for our customers.
Key job responsibilities
Lead a team of scientists to innovate on stateoftheart ads measurement solutions leveraging artificial intelligence causal inference natural language processing computer vision and large language models.
Directly contribute to the endtoend delivery of production solutions through careful designs and owning implementation of significant portions of criticalpath code
Lead the decomposition of problems and development of roadmaps to execute on it.
Set an example for others with exemplary analyses; maintainable extensible code; and simple effective solutions.
Influence team business and engineering strategies.
Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
Foster collaborations between scientists to move faster with broader impact.
Actively engage in the development of others both within and outside the team.
Regularly engage with the broader scientific community with presentations publications and patents.
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: 5 years of building machine learning models for business application experience
PhD or Masters degree and 8 years of applied research experience
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.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
5 years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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 lead measurement solutions endtoend from inception to production. You will propose design analyze and productionize models to provide novel measurement insights to our customers.
For this role we are seeking a talented scientist with deep expertise in Gen AI to innovate our product portfolio and ease accessibility to actionable insights for our customers.
Key job responsibilities
Lead a team of scientists to innovate on stateoftheart ads measurement solutions leveraging artificial intelligence causal inference natural language processing computer vision and large language models.
Directly contribute to the endtoend delivery of production solutions through careful designs and owning implementation of significant portions of criticalpath code
Lead the decomposition of problems and development of roadmaps to execute on it.
Set an example for others with exemplary analyses; maintainable extensible code; and simple effective solutions.
Influence team business and engineering strategies.
Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
Foster collaborations between scientists to move faster with broader impact.
Actively engage in the development of others both within and outside the team.
Regularly engage with the broader scientific community with presentations publications and patents.
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: 5 years of building machine learning models for business application experience
PhD or Masters degree and 8 years of applied research experience
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.
Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
5 years of building machine learning models or developing algorithms for business application experience
Experience in patents or publications at toptier peerreviewed conferences or journals.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 $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
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
