Applied Scientist, Ads Measurement Science (Advertising)
Amazon, New York, New York, us, 10261
Applied Scientist, Ads Measurement Science
Job ID: 3139231 | Amazon.com Services LLC
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 advertiser's 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 also own the science solutions for AI tools that unlock new insights and automate high‑effort customer workflows, such as custom query and report generation based on natural language user requests. 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 an Applied Scientist on the team, you will lead measurement solutions end‑to‑end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.
Key Responsibilities
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high‑quality technical documents
Implement a significant portion of critical‑path code, and partner with engineers to directly carry solutions into production
Partner closely with other scientists to deliver large, multi‑faced technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and non‑technical audiences
Contribute new ideas that shape the direction of the team’s work
Mentor more junior scientists and participate in the hiring process
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 top‑notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Basic Qualifications
2+ years of building models for business application experience
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application
Preferred Qualifications
Experience with popular deep learning frameworks such as MxNet and TensorFlow
Experience in professional software development
Experience building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience designing experiments and statistical analysis of results
Experience in state‑of‑the‑art deep learning models architecture design and deep learning training, optimization, and model pruning
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Compensation & Benefits USA, NY, New York – $172,400.00 – $223,400.00 USD annually. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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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 advertiser's 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 also own the science solutions for AI tools that unlock new insights and automate high‑effort customer workflows, such as custom query and report generation based on natural language user requests. 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 an Applied Scientist on the team, you will lead measurement solutions end‑to‑end from inception to production. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.
Key Responsibilities
Leverage deep expertise in one or more scientific disciplines to invent solutions to ambiguous ads measurement problems
Disambiguate problems to propose clear evaluation frameworks and success criteria
Work autonomously and write high‑quality technical documents
Implement a significant portion of critical‑path code, and partner with engineers to directly carry solutions into production
Partner closely with other scientists to deliver large, multi‑faced technical projects
Share and publish works with the broader scientific community through meetings and conferences
Communicate clearly to both technical and non‑technical audiences
Contribute new ideas that shape the direction of the team’s work
Mentor more junior scientists and participate in the hiring process
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 top‑notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Basic Qualifications
2+ years of building models for business application experience
PhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience
Experience programming in Java, C++, Python or related language
Experience building machine learning models or developing algorithms for business application
Preferred Qualifications
Experience with popular deep learning frameworks such as MxNet and TensorFlow
Experience in professional software development
Experience building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Experience designing experiments and statistical analysis of results
Experience in state‑of‑the‑art deep learning models architecture design and deep learning training, optimization, and model pruning
Experience in patents or publications at top‑tier peer‑reviewed conferences or journals
Compensation & Benefits USA, NY, New York – $172,400.00 – $223,400.00 USD annually. The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and optional supplemental life plans), EAP, mental health support, medical advice line, flexible spending accounts, adoption and surrogacy reimbursement coverage, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.
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