Ph3Overview /h3pSenior Applied Scientist, Ads Measurement Science – Job ID: | Amazon.com Services LLC /ppThe 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 ad spend, including sales impacts both online and offline and across timescales, and provide actionable insights that enable 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. We lead measurement solutions end-to-end from inception to production, proposing, designing, analyzing, and productionizing 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. /p h3Responsibilities /h3 ul liLead a team of scientists to innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models. /li liDirectly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path code. /li liLead the decomposition of problems and development of roadmaps to execute on it. /li liSet an example for others with exemplary analyses; maintainable, extensible code; and simple, effective solutions. /li liInfluence team business and engineering strategies. /li liCommunicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives. /li liFoster collaborations between scientists to move faster, with broader impact. /li liActively engage in the development of others, both within and outside the team. /li liRegularly engage with the broader scientific community with presentations, publications, and patents. /li /ul h3About the team /h3 pWe 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. /p pTeam Video: /p h3Basic Qualifications /h3 ul li5+ years of building machine learning models for business application experience /li liPhD, or Master's degree and 8+ years of applied research experience /li liExperience programming in Java, C++, Python or related language /li liExperience with neural deep learning methods and machine learning /li /ul h3Preferred Qualifications /h3 ul liExperience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, scipy etc. /li liExperience with large scale distributed systems such as Hadoop, Spark etc. /li liExperience with popular deep learning frameworks such as MxNet and TensorFlow. /li li5+ years of building machine learning models or developing algorithms for business applications /li liExperience in patents or publications at top-tier peer-reviewed conferences or journals /li /ul h3Compensation and Benefits /h3 pThe 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 ADD insurance and option for 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. /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p pOur 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 you’re applying in isn’t listed, please contact your Recruiting Partner. /p pThe 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 ADD insurance and option for 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. /p pUSA, NY, New York - 183,800.00 - 248,700.00 USD annually /p pbPosted: /b January 28, 2026 (Updated 1 day ago) /p pbPosted: /b January 6, 2026 (Updated 1 day ago) /p pbPosted: /b January 28, 2026 (Updated 1 day ago) /p pbPosted: /b January 26, 2026 (Updated 3 days ago) /p pbPosted: /b January 27, 2026 (Updated 3 days ago) /p pAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. /p /p #J-18808-Ljbffr