Applied Scientist, Amazon Books Ads
Company websiteamazon.com (Amazon, opens in new tab)
Base salary $172,400 to $223,400
Employer-published annual base salary, USD. Advertised base range in New York, NY
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationNew York, NY
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (5 h ago) · observed since
About this job
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!
The Books Advertising team owns the worldwide advertising business for books, including advertiser and shopper experiences. They develop long-term vision and drive improvements for category relevance, auction dynamics, and ad serving. Additionally, they drive advertiser engagement, represent advertisers' voice, and provide operational support for our programs. This means the team owns all book-specific experiences for Sponsored Products, Sponsored Brands, Sponsored Display, Lock Screen Advertising, the Ads Console, and the Public API.
We are seeking a scientific leader who can drive innovation in complex problem areas and new business initiatives. The ideal candidate will:
Technical & Research Requirements:
- Demonstrate fluency in Python, R or other statistical languages and familiarity with deep learning frameworks like PyTorch, TensorFlow
- Lead end-to-end solution development from research to prototyping and experimentation
- Write and deploy significant parts of scientifically novel software solutions into production
Leadership & Influence:
- Drive team's scientific agenda by proposing new initiatives and securing management buy-in including PM, SDM
- Build consensus on large projects and influence decisions across different teams in Ads
Key Leadership Principles:
- Dive Deep: Uncover non-obvious insights in data
- Deliver Results: Create solutions aligned with customer and product needs
- Learn and Be Curious: Demonstrate self-driven desire to explore new research areas
- Earn Trust: Build relationships with stakeholders through understanding business needs
A day in the life
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.
About the team
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
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 using Unix/Linux
- 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
Source: Amazon · View original posting (opens in new tab)
Pay in context
This role's base floor ($172,400) is above 50% of the 600 Data & ML roles in New York listed on this site; 15 others list the same floor. Their median floor is $171,250; the middle half runs from $140,000 to $197,350.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 7, 2026.
This listingApplied Scientist, Amazon Books Ads$172,400 to $223,400
Data Center Cluster Operations Leader, DCC Communities$170K to $265K
Data Center Cluster Operations Leader, AWS Data Centers$170K to $265K
Manager, Data Engineering, GMT Global Operations Engineering and Support$170K to $230K
Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management$170K to $230K
IT App Analyst III - AMZ10322420$170K to $230K
Sr. Manager, Data and Insights, US Prime & Marketing Technology$170,600 to $230,800
Chart as a table
| Role | Published base |
|---|---|
| Applied Scientist, Amazon Books Ads (this listing) | $172,400 - $223,400 |
| Data Center Cluster Operations Leader, DCC Communities | $170K - $265K |
| Data Center Cluster Operations Leader, AWS Data Centers | $170K - $265K |
| Manager, Data Engineering, GMT Global Operations Engineering and Support | $170K - $230K |
| Sr. Workday Application Analyst, Finance & Adaptive, Grocery Tech Business Operations & Program Management | $170K - $230K |
| IT App Analyst III - AMZ10322420 | $170K - $230K |
| Sr. Manager, Data and Insights, US Prime & Marketing Technology | $170,600 - $230,800 |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-11-03
Where this pay comes from
Location as the employer wrote it: US, NY, New York
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
