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Job Details
Posted date: Jan 27, 2026
There have been 751 jobs posted with the title of Sr. Applied Scientist all time at Amazon.There have been 751 Sr. Applied Scientist jobs posted in the last month.
Location: Seattle, WA
Estimated salary: $213,550
Range: $167,100 - $260,000
Description
The Ads Measurement Science team within Amazon Ads' Measurement, AdTech, and Data Science (MADS) organizationserves a centralized role developing solutions for a multitude of performance measurement products to measure the full impact of advertiser spend, including both online and offline sales impacts across all timeframes. It delivers actionable insights for advertisers to optimize media portfolios. We also build science solutions for AI and AI-powered tools that unlock new insights and automate high-effort customer workflows for ad measurement, such as custom query and report generation based on natural language user requests. We leverage new technologies including Generative AI, machine learning, causal inference, natural Language Processing (NLP), and Computer Vision (CV) to drive these innovations.
A key focus of this role is Modeled Attribution, Amazon's privacy-compliant measurement system serving millions of advertisers and processing billions of events monthly across global marketplaces. We apply state-of-the-art machine learning and GenAI techniques to generate accurate measurement when user identity is unavailable, representing Amazon's technical response to industry-transforming privacy regulations and platform changes.
As a Senior Applied Scientist (Applied Scientist III) on the team, you will lead the development of measurement solutions end-to-end from inception to production. You will define the technical vision for complex measurement initiatives that span multiple teams. You will drive scientific innovation at scale while influencing business and engineering strategies. You will propose, design, analyze, and productionize models to provide novel measurement insights to our customers.
Key job responsibilities
* Innovate on state-of-the-art ads measurement solutions leveraging artificial intelligence, causal inference, natural language processing, computer vision, and large language models
* Directly contribute to the end-to-end delivery of production solutions through careful designs and owning implementation of significant portions of critical-path 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 among scientists and engineers to move fast and broaden impact
* Actively engage in the development of others, both within and outside of the team
* Regularly engage with the broader science 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 top-notch engineers, product managers, sales leaders, and other scientists with expertise in the ads industry and on building scalable modeling and software solutions.
Qualifications
- 5+ years of building machine learning models for business application experience- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Extended Qualifications
- Experience with modeling tools such as R, scikit-learn, 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 Company’s 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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 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 https://amazon.jobs/en/benefits.
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