Applied Scientist, Ads Measurement Science

Amazon; Seattle (WA); On-site; USD 172,400 - 223,400; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on bonus

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Advertising LLC is seeking an Applied Scientist for the Ads Measurement Science team. You will develop models to measure advertiser impact across online and offline channels, leveraging ML, NLP, and Gen AI techniques to deliver scalable solutions.

You will collaborate with engineers and product managers, publish findings, and mentor junior scientists while contributing to hiring and team direction.

Qualifications

• 3+ years building models for business applications.
• PhD, or MS with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, Python or related language.
• Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsibilities

• Invent solutions to ambiguous ads measurement problems.
• Propose evaluation frameworks and success criteria.
• Write high quality technical documents and publish when appropriate.
• Implement significant portions of critical‑path code and collaborate with engineers for production.
• Mentor junior scientists and contribute to hiring.

Skills

Modeling for business applications

Java

C++

Python

Algorithms

Education

PhD

MS in CS/CE/ML

Job description

Applied Scientist, Ads Measurement Science

Job ID: 10472836 | Amazon Advertising 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.

Key job 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‑faceted 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

• 3+ 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 in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high‑performance computing

Preferred Qualifications

• Experience in professional software development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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.

USA, NY, New York - 172,400.00 - 223,400.00 USD annually