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Amazon Data Scientist Jobs (NOW HIRING)

Amazon

Data Scientist II, Amazon Business

Seattle, WA · On-site

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

Amazon

Data Scientist II, Amazon Business

Seattle, WA · On-site

Amazon Business Data Insights and Analytics team is looking for a Data Scientist to lead the research and thought leadership to drive our data and insights strategy for Amazon Business. This role is ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$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 ...

Amazon

Data Engineer, Amazon Ads

New York, NY

$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 ...

Datum Software, Inc.

Data Scientist

Charlotte, NC

Design and implement endtoend machine learning ML pipelines using services such as Amazon SageMaker ... data science solutions and actionable insights Apply AIML algorithms for use cases such as ...

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Amazon Data Scientist information

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$243.5K

How much do amazon data scientist jobs pay per year?

As of Jun 15, 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.

Is a data scientist in high demand?

Data scientists are in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly sought after, and the role often offers competitive salaries and opportunities for career growth.

Is 30 too late for data science?

Age is not a barrier to becoming a data scientist, including at 30. Success in data science depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned at any age through online courses, bootcamps, or formal education. Many professionals transition into data science later in their careers and find opportunities in the field.

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 experienced professionals and those in senior roles earning higher compensation. Total compensation often includes bonuses, stock options, and benefits, reflecting industry standards for tech companies.

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.

What does a data scientist do at Amazon?

A data scientist at Amazon analyzes large datasets to identify trends, develop predictive models, and support decision-making processes. They use tools like Python, R, and SQL, and often collaborate with engineering and product teams to improve services and customer experience.

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.
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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:
What job categories do people searching Amazon Data Scientist jobs look for? The top searched job categories for Amazon Data Scientist jobs are:
Amazon Data Scientist jobs near you
Infographic showing various Amazon Data Scientist job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist, Rapid & Rural Logistics (R2L)

Data Scientist, Rapid & Rural Logistics (R2L)

Amazon

Bellevue, WA

Full-time

Posted 23 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,854 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!
We are looking for a Data Scientist to join our team and solve some of the most complex business problems!
Key job responsibilities
- Work with product managers, engineers, other scientists, and leadership to identify and prioritize complex problems.
- Interview stakeholders to gather business requirements and translate business problems into data science or analytical problems
- Design, develop, and evaluate highly innovative statistics and ML models
- Guide and establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
- Proactively seek to identify business opportunities and insights and provide solutions to shape key business processes and policies based on a broad and deep knowledge of Amazon data, industry best-practices, and work done by other teams.
A day in the life
In this role, you will be a technical expert with significant scope and impact. You will work with Product and Supply Chain Managers, Business Intelligence Engineers, System Developers and other Scientists, to develop models that solve a wide range of complex and ambiguous business problems, with the main goal to improve customer experience, improve availability of products and reduce supply chain cost

A successful Data Scientist will have bias for action needed in a startup environment, with great leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. It will be a person who enjoys diving deep into data, doing analysis, discovering root causes, and designing long-term scientific solutions. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently.

We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career.
About the team
The R2L team is responsible for building the next generation supply chain for Amazon's world-class ultra-fast customer experiences including Amazon Fresh groceries, Sub-Same Day, Amazon Now, and other soon-to-launch exciting new businesses. Join us and you'll be taking part in serving our customers in as fast as 30 minutes!.

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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