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Amazon Data Scientist Jobs (NOW HIRING)

... Amazon MGM Studios-produced series and movies; licensed fan favorites; and exclusive access to ... We are looking for a customer-focused, solutions-oriented Data Scientist to help build new data ...

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services ... The Data Scientist II will design and implement solutions to address complex business questions ...

At Amazon, security is central to maintaining customer trust and delivering delightful customer ... data scientist role with a large technology company - Experience in defining and creating ...

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: San Diego, California Job Number: AMZ9803634 Position Responsibilities: Own the data science elements of various products to ...

At Amazon, security is central to maintaining customer trust and delivering delightful customer ... data scientist role with a large technology company - Experience in defining and creating ...

Data Engineer, Amazon Ads

Seattle, WA · On-site

$130K - $156K/yr

... Science, PM-T, and Design across multiple AI native advertising products This is a startup team ... with the Amazon data stack - Datanet/ETLM, Cradle, Andes 3.0, Redshift Spectrum, EDX, and ...

AMAZON ADVERTISING LLC Offered Position: Data Scientist II Job Location: New York, New York Job Number: AMZ9658237 Position Responsibilities: Design and implement scalable and reliable approaches to ...

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Amazon Data Scientist information

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$46K

$165K

$243.5K

How much do amazon data scientist jobs pay per year?

As of Jul 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.

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.

How much do Amazon data scientists make?

Amazon data scientists typically earn a salary ranging from $100,000 to $160,000 annually, with senior roles earning over $200,000 including bonuses and stock options. Compensation varies based on experience, location, and skill set, with proficiency in machine learning, statistics, and programming being highly valued.

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.

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

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.

Can data scientists make $300k?

Data scientists at large tech companies like Amazon can earn $300,000 or more annually, especially with seniority, specialized skills, and stock options. Compensation varies based on experience, location, and performance, with senior roles and those in high-cost areas more likely to reach this level.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at 40. Success in data science depends on skills, experience, and continuous learning, such as mastering programming languages like Python or R and understanding machine learning concepts. Many professionals transition into data science later in their careers and find opportunities in the field.

Will Amazon pay you $28 an hour to work from home?

Amazon Data Scientists working remotely can earn around $28 an hour or more, depending on experience, location, and specific role requirements. Compensation varies based on factors such as skill level, project complexity, and company policies, but remote data science positions at Amazon are generally well-compensated within industry standards.

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.
More about Amazon Data Scientist jobs
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 July 2026, with employment types broken down into 1% Locum Tenens, 90% Full Time, 7% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Prime Video

Data Scientist, Prime Video

Amazon

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,933 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and exclusive access to coverage of live sports. All customers regardless of whether they have a Prime membership or not, can access programming from subscriptions such as Apple TV, Peacock Premium Plus, HBO Max, FOX One, Crunchyroll and MGM+, as well as more than 900 free ad-support (FAST) Channels, rent or buy titles, and enjoy even more content for free with ads.
The Prime Video Personalization and Discovery team matches customers with the right content at the right time, at all touch points throughout the content discovery journey. We are looking for a customer-focused, solutions-oriented Data Scientist to help build new data-driven frameworks to understand what makes new personalization and content discovery innovations successful for users and the business. You'll be part of an embedded science team on projects that are fast-paced, challenging, and ultimately influence what millions of customers around the world see when the log into Prime Video.
The ideal candidate brings strong problem-solving skills, stakeholder communication skills, and the ability to balance technical rigor with delivery speed and customer impact. You will build cross-functional support within Prime Video, assess business problems, define metrics, and support iterative scientific solutions that balance short-term delivery with long-term science roadmaps.
Key job responsibilities
- Use advanced statistical and machine learning techniques to extract insights from complex, large-scale data sets
- Design and implement end-to-end data science workflows, from data acquisition and cleaning to model development, testing, and deployment
- Support scalable, self-service data analyses by building datasets for analytics, reporting and ML use cases
- Partner with product stakeholders and senior science peers to identify strategic data-driven opportunities to improve the customer experience
- Communicate findings, conclusions, and recommendations to technical and non-technical stakeholders
- Stay up-to-date on the latest data science tools, techniques, and best practices and help evangelize them across the organization
BASIC QUALIFICATIONS
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 2+ years of data scientist experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Bachelor's degree
- Experience applying theoretical models in an applied environment
PREFERRED QUALIFICATIONS
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
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, WA, Seattle - 136,000.00 - 184,000.00 USD annually

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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