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Amazon Data Scientist Jobs (NOW HIRING)

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA

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 ...

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA · On-site

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 ...

Amazon

Data Scientist, AWS Security

Arlington, VA · On-site

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

Amazon

Data Scientist, AWS Security

Arlington, VA · On-site

As a Data Scientist on our team, you will leverage advanced analytics and machine learning to ... At Amazon, security is central to maintaining customer trust and delivering delightful customer ...

Amazon

Data Scientist, Demand Forecasting

Bellevue, WA · On-site

At Amazon, our Demand Forecasting team is tackling one of the most ambitious challenges in applied ... You'll write code - Python, Scala, SQL - to process and analyze data at a scale most scientists ...

PortPro

Data Scientist

New York, NY

Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such ... as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop ...

PortPro

Data Scientist

New York, NY · On-site +1

Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such ... as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop ...

PortPro

Data Scientist

New York, NY · Remote

Experience working with Amazon AWS technology stack. * Experience with data science toolkits, such ... as NumPy, Pandas, Matplotlib. * Familiarity with Big Data tools and platforms, such as Hadoop ...

Nestlé Health Science

Senior Data Scientist

Nestlé Health Science is dedicated to merging nutrition, science, and wellness to empower ... AMC (Amazon Marketing Cloud) and Amazon advertising and sales data will be given priority ...

Amazon

Data Scientist II - AMZ27028.1

Houston, TX · On-site

$136K - $184K/yr

Employer: Amazon Web Services, Inc. Position: Data Scientist II Location: Houston, TX Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate ...

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Amazon Data Scientist information

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$165K

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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:
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 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.
Language Data Scientist, Alexa International

Language Data Scientist, Alexa International

Amazon

Bellevue, WA

Full-time

Re-posted 25 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

Amazon is seeking a Language Data Scientist to join the Alexa International science team as domain expert. This role focuses on expanding analysis and evaluation of conversational interaction data deliverables. The Language Data Scientist is an expert in conversation assessment processes, working closely with a team of skilled machine learning scientists and engineers, and is a key member in developing new conventions for relevant annotation workflows.

The Language Data Scientist will be own unique data analysis and research requests that support the training and evaluation of LLMs and machine learning models, and the overall processing of a data collection.
Key job responsibilities
To be successful in this role, you must have a passion for data, efficiency, and accuracy. Specifically, you will:
- Own data analyses for customer-facing features, including launch go/no-go metrics for new features and accuracy metrics for existing features
- Handle unique data analysis requests from a range of stakeholders, including quantitative and qualitative analyses to elevate customer experience with speech interfaces
- Lead and evaluate changing dialog evaluation conventions, test tooling developments, and pilot processes to support expansion to new data areas
- Continuously evaluate workflow tools and processes and offer solutions to ensure they are efficient, high quality, and scalable
- Provide expert support for a large and growing team of data analysts
- Provide support for ongoing and new data collection efforts as a subject matter expert on conventions and use of the data
- Conduct research studies to understand speech and customer-Alexa interactions
- Collaborate with scientists and product managers, and other stakeholders in defining and validating customer experience metrics .

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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