Principal Scientist, Ads Performance & Measurement

Principal Applied Scientist, Measurement, AdTech and Data Science, Ads Performance Measurement

Job ID: | Amazon.com Services LLC

The Principal Applied Scientist in Performance Measurement in the Measurement, Ad Tech, and Data Science (MADS) team leads the technical vision and execution for Amazon Advertising's performance measurement. Our measurement products and tools help customers understand the holistic impact of their spend on Amazon Ads and optimize their portfolios. This is a complex, multi-disciplinary scientific space spanning machine learning, causal inference, statistics and experimentation, natural language processing, and generative AI. As a GenAI‑first organization, we build foundational and agentic models that power advertiser use cases across Ads, while empowering our Applied Scientists to directly build and ship products. You will guide a team of scientists with expertise across different domains to come together and innovate on some of the hardest problems in advertising, made more challenging by evolving privacy regulations and technological changes.

Key Responsibilities

• Driving the scientific vision of the teams and advising the technical leadership on performance measurement models and products.
• Identifying, tackling, and proposing innovative solutions to intrinsically hard, previously unsolved problems.
• Bringing clarity to complex problems, probing assumptions, illuminating pitfalls, fostering shared understanding, and guiding toward effective solutions.
• Serving and being recognized by internal and external peers as a thought leader in modeled measurement in Ads, engaging routinely with the broader scientific community as a reviewer, program committee member, workshop organizer, or chair at peer‑reviewed internal or external conferences.
• Leading by example, with your papers, analyses, and code setting the standard in your organization for scientific engineering excellence.
• Leading science and design reviews, aligning teams across your organization around coherent algorithmic strategies.
• Influencing the team’s science and business strategy by driving one or more team roadmaps contributing to the organization’s roadmap and taking responsibility for some organizational goals. Driving multiple new product features from inception to production launch.
• Guiding the career development of others, actively mentoring and educating the larger applied science community on trends, technologies, and best practices.
• Staying abreast of academic and industry trends, knowing the state of the art, and building on top of existing solutions instead of reinventing when possible.

Basic Qualifications

• PhD in Computer Science, Statistics, or related field.
• 10+ years of applied ML experience in building complex, real‑time systems involving AI, ML, and NLP.
• Hands‑on experience with designing and prototyping AI solutions for real‑world applications.

Preferred Qualifications

• Research publications or patents in generative AI technologies.
• Experience with natural language processing and generative model architectures.
• Background in advertising technology or e‑commerce platforms.
• Demonstrated track record of innovative AI solution development.
• Experience with advertising systems and applications.

Legal and EEO Statements

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 working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Additional Information

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

USA, CA, Palo Alto – 228,700.00 – 309,400.00 USD annually

USA, NY, New York – 218,800.00 – 295,900.00 USD annually

USA, WA, Seattle – 198,900.00 – 269,000.00 USD annually

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