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Amazon Science Jobs (NOW HIRING)

Amazon

Sr. Applied Scientist, Amazon Ads

Seattle, WA · On-site

$104K - $142K/yr

Amazon Ads is investing heavily in AI and ML capabilities, creating opportunities for scientists to innovate and make their marks. Your work will directly impact millions Whether you see yourself ...

Amazon

Sr. Applied Scientist, Amazon Ads

Seattle, WA

$104K - $142K/yr

Amazon Ads is investing heavily in AI and ML capabilities, creating opportunities for scientists to innovate and make their marks. Your work will directly impact millions Whether you see yourself ...

Amazon

Sr. Applied Scientist , Amazon

Seattle, WA · On-site

You will participate in the Amazon ML community and mentor Applied Scientists and software development engineers with a strong interest in and knowledge of ML. Your work will directly benefit ...

Amazon

Data Scientist, Demand Forecasting

Bellevue, WA · On-site

About the team The Demand Forecasting team sits at the heart of Amazon's supply chain, building the science that determines what products are available, when, and at what cost - for hundreds of ...

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Amazon Science information

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$24.5K

$48.4K

$79K

How much do amazon science jobs pay per year?

As of Jun 5, 2026, the average yearly pay for amazon science in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Amazon Scientist, and why are they important?

To thrive as an Amazon Scientist, you need a strong background in statistics, machine learning, data analysis, and a relevant advanced degree such as a Ph.D. in computer science, statistics, or related fields. Experience with technical tools like Python, R, SQL, and cloud computing platforms, along with familiarity in big data technologies, is highly valued. Strong problem-solving abilities, collaboration, and the capacity to communicate complex findings to both technical and non-technical stakeholders are important soft skills. These skills ensure the scientist can develop innovative solutions that drive business impact, support data-driven decision-making, and foster effective teamwork.

How does an Amazon Science team member typically collaborate with engineers and product managers on projects?

Amazon Science team members, such as data scientists and research scientists, work closely with engineers and product managers throughout the lifecycle of a project. They often begin by defining the problem with input from product managers, then develop and validate models or algorithms in collaboration with engineers to ensure technical feasibility and scalability. Regular meetings and cross-functional reviews are common, enabling seamless communication and alignment on objectives. This collaborative structure fosters innovation and ensures that scientific solutions are effectively integrated into Amazon’s products and services.

What is Amazon Science?

Amazon Science refers to the team of researchers, scientists, and engineers at Amazon who focus on advancing the state of the art in fields like machine learning, artificial intelligence, data science, computer vision, and natural language processing. These professionals work on projects that power Amazon’s products and services, such as Alexa, recommendation systems, robotics, and logistics optimization. The goal of Amazon Science is to solve complex technical challenges and create innovative solutions that improve customer experiences and drive the company’s growth.

What is the difference between Amazon Science vs Data Scientist?

AspectAmazon ScienceData Scientist
Required CredentialsAdvanced degrees in CS, AI, ML, or related fieldsDegree in CS, Statistics, or related fields; often requires experience in data analysis
Work EnvironmentResearch-focused, innovative projects, collaboration with engineers and researchersData analysis, modeling, reporting, cross-functional teams
Employer & Industry UsageAmazon's R&D division, focusing on AI, ML, and scientific researchTech companies, e-commerce, finance, healthcare, using data to inform decisions

Amazon Science primarily involves research and development in AI and machine learning, often requiring advanced degrees and a focus on scientific innovation. Data Scientists analyze data to generate insights, build models, and support business decisions. While both roles work with data and AI, Amazon Science emphasizes research and scientific breakthroughs, whereas Data Scientists focus on applying data analysis to solve practical problems.

More about Amazon Science jobs
What cities are hiring for Amazon Science jobs? Cities with the most Amazon Science job openings:
What states have the most Amazon Science jobs? States with the most job openings for Amazon Science jobs include:
What job categories do people searching Amazon Science jobs look for? The top searched job categories for Amazon Science jobs are:
Amazon Science jobs near you
Infographic showing various Amazon Science job openings in the United States as of May 2026, with employment types broken down into 4% Internship, 12% As Needed, 73% Full Time, 3% Part Time, 5% Temporary, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Sr. Applied Scientist, Amazon Ads

Sr. Applied Scientist, Amazon Ads

Amazon

Seattle, WA • On-site

$104K - $142K/yr

Full-time

Posted 7 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,811 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers

Job description

Application deadline: Applications will be accepted on an ongoing basis
Amazon Ads is re-imagining advertising through cutting-edge generative artificial intelligence (AI) technologies. We combine human creativity with AI to transform every aspect of the advertising life cycle-from ad creation and optimization to performance analysis and customer insights. Our solutions help advertisers grow their brands while enabling millions of customers to discover and purchase products through delightful experiences.

We deliver billions of ad impressions and millions of clicks daily, breaking fresh ground in product and technical innovations. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
Why you'll love this role:
This role offers unprecedented breadth in ML applications and access to extensive computational resources and rich datasets that will enable you to build truly innovative solutions. You'll work on projects that span the full advertising life cycle, from sophisticated ranking algorithms and real-time bidding systems to creative optimization and measurement solutions.
You'll work alongside talented engineers, scientists, and product leaders in a culture that encourages innovation, experimentation, and bias for action, and you'll directly influence business strategy through your scientific expertise

What makes this role unique is the combination of scientific rigor with real-world impact. You'll re-imagine advertising through the lens of advanced ML while solving problems that balance the needs of advertisers, customers, and Amazon's business objectives.
Your impact and career growth:
Amazon Ads is investing heavily in AI and ML capabilities, creating opportunities for scientists to innovate and make their marks. Your work will directly impact millions

Whether you see yourself growing as an individual contributor or moving into people management, there are clear paths for career progression. This role combines scientific leadership, organizational ability, technical strength, and business understanding. You'll have opportunities to lead technical initiatives, mentor other scientists, and collaborate with senior leadership to shape the future of advertising technology.

Most importantly, you'll be part of a community that values scientific excellence and encourages you to push the boundaries of what's possible with AI.
Watch two Applied Scientists at Amazon Ads talk about their work:
https://www.youtube.com/watch?v=vvHsURsIPEA
Learn more about Amazon Ads:
https://advertising.amazon.com/
Key job responsibilities
As a Senior Applied Scientist in Amazon Ads, you will:
- Research and implement cutting-edge ML approaches, including applications of generative AI and large language models
- Develop and deploy innovative ML solutions spanning multiple disciplines - from ranking and personalization to natural language processing, computer vision, recommender systems, and large language models
- Drive end-to-end projects that tackle ambiguous problems at massive scale, often working with petabytes of data
- Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently
- Build ML models, perform proof-of-concept, experiment, optimize, and deploy your models into production, working closely with cross-functional teams including engineers, product managers, and other scientists
- Design and run A/B experiments to validate hypotheses, gather insights from large-scale data analysis, and measure business impact
- Develop scalable, efficient processes for model development, validation, and deployment that optimize traffic monetization while maintaining customer experience

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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