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Amazon Data Science 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 ... Key job responsibilities - Development of scalable data science solutions catering to volume and ...

Amazon

Data Scientist II, NASC S&OP

Bellevue, WA

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services ... Key job responsibilities - Development of scalable data science solutions catering to volume and ...

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 ... Key job responsibilities - Development of scalable data science solutions catering to volume and ...

Amazon

Data Scientist, Prime Video

Seattle, WA · On-site

... Amazon MGM Studios-produced series and movies; licensed fan favorites; and exclusive access to ... You'll be part of an embedded science team on projects that are fast-paced, challenging, and ...

Amazon

Data Scientist III - AMZ9803634

San Diego, CA · On-site

$159K - $215K/yr

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 ...

Tatari

Data Science Manager

Los Angeles, CA

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Amazon

Data Engineer, OIS/CXI Analytics

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and ML-ready data infrastructure that power AI-driven operational insights and Data Science initiatives across Amazon's global ...

Tatari

Data Science Manager

San Francisco, CA

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

New York, NY · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Manager to lead our growing AI product data science function. This ...

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Amazon Data Science information

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$46K

$165K

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How much do amazon data science jobs pay per year?

As of Jul 9, 2026, the average yearly pay for amazon data science 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 are the key skills and qualifications needed to thrive in the Amazon Data Science position, and why are they important?

To thrive as an Amazon Data Science professional, you need strong analytical abilities, expertise in statistics and machine learning, and a solid educational background in computer science, mathematics, or a related field. Proficiency in programming languages such as Python or R, familiarity with big data tools like AWS, Spark, or Hadoop, and relevant certifications (e.g., AWS Certified Data Analytics) are often required. Effective communication, business acumen, and collaborative problem-solving set exceptional candidates apart. These skills are crucial for transforming complex data into actionable insights that drive impactful business decisions at Amazon.

What types of projects and challenges can I expect as an Amazon Data Science team member?

As an Amazon Data Science team member, you can expect to work on projects ranging from optimizing supply chains and recommendation systems to improving customer experiences and forecasting demand. Daily responsibilities often involve analyzing large data sets, building predictive models, and collaborating closely with product managers, software engineers, and business leaders. The pace is fast, with opportunities to tackle complex problems that have a direct impact on Amazon’s customers and operations. You’ll also have the chance to grow your skills through cross-team projects, participation in internal workshops, and exposure to emerging data science technologies.

Does Amazon hire data scientists?

Yes, Amazon hires data scientists to analyze large datasets, develop machine learning models, and support business decision-making. Candidates typically need strong skills in statistics, programming, and tools like Python or R, along with relevant experience or education in data science or related fields.

Can data scientists make $300k?

Data scientists at companies like Amazon can potentially earn $300,000 or more annually, especially with seniority, extensive experience, advanced skills in machine learning, and in high-cost-of-living areas. Compensation often includes base salary, bonuses, and stock options, which can significantly increase total earnings.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist, including at 40 or older. 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 based on their expertise and problem-solving abilities.

What is an Amazon Data Science job?

An Amazon Data Science job involves leveraging data to drive business decisions, optimize operations, and enhance customer experiences. Data scientists at Amazon work with machine learning, statistical modeling, and big data technologies to analyze vast datasets and generate actionable insights. They collaborate with engineering, product, and business teams to develop data-driven solutions for challenges such as recommendation systems, demand forecasting, and fraud detection. Strong programming skills in Python or Scala, expertise in SQL, and experience with AWS tools are commonly required.

How much does a Data Scientist make at Amazon?

The average salary for a Data Scientist at Amazon is around $120,000 to $150,000 per year, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with more senior roles earning higher salaries. Skills in machine learning, data analysis, and proficiency with tools like Python and SQL are often required.
More about Amazon Data Science jobs
What cities are hiring for Amazon Data Science jobs? Cities with the most Amazon Data Science job openings:
What are the most commonly searched types of Amazon Data Science jobs? The most popular types of Amazon Data Science jobs are:
What states have the most Amazon Data Science jobs? States with the most job openings for Amazon Data Science jobs include:
What job categories do people searching Amazon Data Science jobs look for? The top searched job categories for Amazon Data Science jobs are:
Amazon Data Science jobs near you
Infographic showing various Amazon Data Science 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 II, NASC S&OP

Data Scientist II, NASC S&OP

Amazon

Bellevue, WA

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,936 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

The Sort Center network is the critical Middle-Mile solution in the Amazon Transportation Services (ATS) group, linking Fulfillment Centers to the Last Mile. The experience of our customers is dependent on our ability to efficiently execute volume flow through the middle-mile network.
The Data Scientist II will design and implement solutions to address complex business questions using advanced statistical and machine learning (ML) techniques, experimentation, and big data. In this role, you will build scalable ML models, apply advanced analysis technique and statistical concepts to draw insights from massive datasets, and create intuitive science models and data visualizations

You can contribute to each layers of a data solution - you will work closely with business intelligence engineers and product managers to obtain relevant datasets and prototype predictive analytic models, and implement data pipeline to productionize your models, and review key results with business leaders and stakeholders. Your work exhibits a balance between scientific validity and business practicality.
To be successful in this role, you must be able to turn ambiguous business questions into clearly defined problems, develop quantifiable metrics and robust machine learning models from imperfect data sources, and deliver results that meet high standards of data quality, security, and privacy.
Key job responsibilities
- Development of scalable data science solutions catering to volume and cube forecasting for NASC Sales and Operation Planning Team.
- Working closely with Network Planners, Product Managers, Data Scientists, Business Intelligence Engineers, and various planning teams to drive business decisions and alignment with business stakeholders.
- Development of scalable data science solutions to audit and optimize our NASC network.
- Development and execution of analytical tools to model our transportation network.
- Contribute to the strategy for network design, prioritize technical and operational initiatives, evaluate and set stakeholders expectations.
A day in the life
Amazon Benefits:
Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment

The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3.

Paid Time Off (PTO)
4. 401(k) Plan

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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