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Amazon Data Scientist Jobs (NOW HIRING)

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... As a Data Scientist on our team, you will analyze data from massive data sets to categorize ...

Amazon Connect leverages the power of Artificial Intelligence and the large ecosystem of AWS ... As a Data Scientist on our team, you will analyze data from massive data sets to categorize ...

As a Data Scientist in Region Flexibility, you will work to enable Amazon businesses to leverage new AWS regions and improve the efficiency and scale of our business. Our project spans across all of ...

As a Data Scientist in Region Flexibility, you will work to enable Amazon businesses to leverage new AWS regions and improve the efficiency and scale of our business. Our project spans across all of ...

Role Name: Data Scientist Location: Charlotte, NC / hybrid Type of hire: Contract Key ... Design and implement end-to-end machine learning ML pipelines using services such as Amazon ...

Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast ... As a Senior Data Scientist (DS), you will drive the development and implementation of advanced ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible ... Turn customer needs into data science problems and actionable recommendations for your product ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible ... Turn customer needs into data science problems and actionable recommendations for your product ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible ... Turn customer needs into data science problems and actionable recommendations for your product ...

Showing results 21-40

Amazon Data Scientist information

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$46K

$165K

$243.5K

How much do amazon data scientist jobs pay per year?

As of Sep 8, 2026, the average yearly pay for amazon data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What does an Amazon data scientist do?

An Amazon Data Scientist analyzes large volumes of data to uncover trends, build predictive models, and help the company make data-driven decisions. They collaborate with business teams to identify problems, design experiments, and implement machine learning solutions that improve processes or enhance customer experiences. Their work often involves using programming languages like Python or R, and leveraging tools such as AWS, to handle data at scale. By providing actionable insights, Amazon Data Scientists play a key role in driving innovation and efficiency across the organization.

What are the key skills and qualifications needed to thrive as an Amazon data scientist?

To thrive as an Amazon Data Scientist, you need a solid background in statistics, machine learning, programming (typically Python or R), and a degree in a quantitative field such as computer science or mathematics. Experience with big data tools like AWS, SQL, and data visualization platforms, as well as familiarity with cloud-based analytics, is highly valued. Strong problem-solving, business acumen, and the ability to communicate complex findings to non-technical stakeholders are essential soft skills. These capabilities are critical for developing impactful data-driven solutions that drive business decisions and innovation at scale.

How does an Amazon data scientist typically collaborate with cross-functional teams to deliver impactful solutions?

Amazon Data Scientists regularly work alongside software engineers, product managers, and business analysts to develop data-driven solutions for complex business problems. Collaboration often involves translating business objectives into analytical projects, sharing insights through clear visualizations, and iterating on models based on team feedback. This cross-functional teamwork ensures that data science solutions are both technically robust and aligned with business priorities, fostering innovation and measurable impact. Effective communication and adaptability are key to thriving in this collaborative environment.

What is the difference between Amazon Data Scientist vs Data Analyst?

AspectAmazon Data ScientistData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; experience with machine learningBachelor's in Statistics, Mathematics, or related fields; proficiency in data visualization and SQL
Work EnvironmentCollaborates with engineering, product teams; focuses on predictive modeling and advanced analyticsPrepares reports, interprets data trends; often works with business teams
Employer & Industry UsagePrimarily in tech, e-commerce, logistics; Amazon-specific tools and platforms

Amazon Data Scientists focus on developing predictive models and machine learning solutions, requiring advanced technical skills and experience. Data Analysts typically handle data reporting, visualization, and basic analysis to support business decisions. While both roles work with data, Data Scientists engage in more complex modeling, whereas Data Analysts focus on interpreting and presenting data insights.

How much do Amazon data scientists make?

Amazon data scientists typically earn an average salary ranging from $120,000 to $170,000 annually, depending on experience, location, and level. Senior roles or those with specialized skills in machine learning and big data may have higher compensation, often including bonuses and stock options.
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What cities are hiring for Amazon Data Scientist jobs?

Cities with the most Amazon Data Scientist job openings:

What states have the most Amazon Data Scientist jobs?

States with the most job openings for Amazon Data Scientist jobs include:

Infographic showing various Amazon Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Sr Data Scientist, Amazon Publisher Services

Amazon

New York, NY • On-site

Full-time

Posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,157 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers


Job description

External job description
Job summary
Amazon Publisher Services (APS) helps digital publishers around the world build and grow thriving businesses. We provide services and advanced technologies to web, mobile app and advanced TV publishers of all sizes, including many of comScore's global top 100, to help them monetize their content with demand from multiple programmatic buyers. Our server-side header bidding solutions are fast and reliable across devices, handling billions of queries per day, delivering ads in milliseconds.

The result is more profitable advertising for publishers and more relevant ads for customers.
As a Data Scientist on this team, you will:
Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.
Write code (Python, R, Scala, etc.) to analyze data and build statistical models to solve specific business problems.
Apply statistical and machine learning knowledge to specific business problems and data.
Build decision-making models and propose solution for the business problem you define.
Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
Analyze historical data to identify trends and support optimal decision making.
Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.
Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
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.
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 research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.
About the team
The Marketplace Services team within Amazon Publisher Services organization primarily focuses on improving monetization for our STV, Web, Mobile and Audio publisher customers. We directly work with 60+ 3p buyers to enable optimal connectivity for publishers to improve their yield

We also own products such as Connections Marketplace (CxM) and Signal IQ that help publishers connect to myriad of 3p and 1p ad tech vendors to boost their bid request quality, while measuring the value of each signal on their bid stream through rigorous A/B testing.
Internal job description
The candidate would work with Product, Engineering, BIEs and Scientist across Supply and Demand organization to help make APS the best performing supply path for Amazon ads advertiser customers. They would spearhead efforts to conduct experiments alongside demand and measurement teams to identify optimal perfomance path for advertisers while improving APS Share of Wallet.
About the team
The Marketplace Services team within Amazon Publisher Services organization primarily focuses on improving monetization for our STV, Web, Mobile and Audio publisher customers. We directly work with 60+ 3p buyers to enable optimal connectivity for publishers to improve their yield

We also own products such as Connections Marketplace (CxM) and Signal IQ that help publishers connect to myriad of 3p and 1p ad tech vendors to boost their bid request quality, while measuring the value of each signal on their bid stream through rigorous A/B testing.


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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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US