Applied Scientist, Ads Measurement Science
New York, NYJob$172–223K/yrSeen todaySeen in employer's feed today
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Job overview
Amazon Ads’ Ads Measurement Science team develops measurement products and AI tools that help advertisers understand the impact of ad spend and optimize media portfolios. The Applied Scientist will lead measurement solutions from inception to production by designing, analyzing, and productionizing models that deliver new insights. The role works with scientists, engineers, product managers, and other partners on technical projects and contributes to the team’s scientific direction.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
Description
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 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
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3+ years of building models for business application experience
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PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
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Experience programming in Java, C++, Python or related language
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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
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Experience using Unix/Linux
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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
How this job compares
Set against the 1,086 open Applied Scientist jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$172–223K/yr
- New York median$184–249K/yr103 salary ranges
- US median$158–264K/yr1,042 salary ranges
This range's midpoint, $198K, is 8% below the New York median midpoint ($216K) — in the middle half of Applied Scientist salary ranges in New York.
- Openings
- Olive Jobs lists 109 open Applied Scientist jobs in New York and 1,086 across the US. 1% of them nationwide are listed as remote or flexible.
- Hiring the most in New York
- Amazon (this employer)77 open
- Garner Health8 open
- Oracle7 open
- Experience
- This posting asks for at least 3 years of experience; Applied Scientist postings that state a minimum ask for 5 years at the median (894 postings).
- Education
- 429 of the 1,086 open Applied Scientist jobs (40%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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