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Entry Level Amazon Data Science Jobs (NOW HIRING)

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

Turn customer needs into data science problems and actionable recommendations for your product ... About the team Sales AI is a central science and engineering organization within Amazon Advertising ...

data science engineer

Alpharetta, GA · On-site

$108K - $130K/yr

Amazon Web Services, Google Cloud, Microsoft • Experience with big data technologies: Apache ... Science, Information Technology, Data Science, or related field Preferred : • 2+ years of ...

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Sunnyvale, California Job Number: AMZ10087624 Position Responsibilities: Own the data science elements of various products ...

AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Santa Clara, California Job Number: AMZ9976173 Position Responsibilities: Own the data science elements of various products ...

Every time a customer clicks "Add to Cart" on Amazon, they're trusting us to have already answered ... We care about doing the science rigorously, shipping things that matter, and not taking shortcuts ...

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

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

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

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Manhattan, NY · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

New York, NY · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

... Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising ... We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ...

Showing results 21-40

Entry Level Amazon Data Science information

What is an entry level Amazon data science job?

An entry level Amazon data science job typically involves analyzing large datasets, building data models, and generating insights to help Amazon improve its products and services. Employees in these roles often work with teams of data scientists, engineers, and business stakeholders to solve real-world business problems. Key responsibilities may include cleaning and organizing data, using statistical and machine learning techniques, and creating visualizations to communicate findings. Entry-level positions usually require a background in statistics, computer science, or a related field, along with proficiency in programming languages like Python or R.

What are some common challenges faced by entry-level data scientists at Amazon, and how can they be addressed?

Entry-level data scientists at Amazon often encounter challenges such as working with large-scale, complex datasets and adapting to the fast-paced, results-driven environment. Navigating Amazon's proprietary tools and understanding the business context behind data projects can also be daunting at first. To overcome these challenges, new hires are encouraged to actively seek guidance from mentors, participate in team knowledge-sharing sessions, and invest time in learning Amazon's data infrastructure and workflows. Collaboration with cross-functional teams is frequent, so developing strong communication skills and a willingness to ask questions can significantly ease the transition and lead to early success.

What are the key skills and qualifications needed to thrive as an entry level Amazon data scientist, and why are they important?

To thrive as an Entry Level Data Scientist at Amazon, you typically need a strong foundation in statistics, data analysis, and programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools and languages such as Python, SQL, AWS, and machine learning libraries, along with experience using data visualization platforms, is highly valued. Strong problem-solving abilities, communication skills, and the ability to collaborate across teams set top candidates apart. These skills are essential to extract actionable insights from large datasets, drive data-driven decisions, and contribute effectively to Amazon’s innovative environment.

What is the difference between Entry Level Amazon Data Science vs Entry Level Amazon Data Engineering?

AspectEntry Level Amazon Data ScienceEntry Level Amazon Data Engineering
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python, R skillsBachelor's in Computer Science, Software Engineering, or related; SQL, Python, Spark skills
Work EnvironmentAnalyzing data, building models, predictive analyticsBuilding data pipelines, managing data infrastructure
Employer & Industry UsageUsed across Amazon for insights, recommendations, customer behaviorSupports data infrastructure, ETL processes, data storage

Entry Level Amazon Data Science focuses on analyzing data and creating models to inform business decisions, while Entry Level Amazon Data Engineering involves building and maintaining data pipelines and infrastructure. Both roles require technical skills but differ in their core responsibilities and daily tasks.

More about Entry Level Amazon Data Science jobs

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Cities with the most Entry Level 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:

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States with the most job openings for Entry Level Amazon Data Science jobs include:

What job categories do people searching Entry Level Amazon Data Science jobs look for?

The top searched job categories for Entry Level Amazon Data Science jobs are:

Infographic showing various Entry Level Amazon Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist, Sales AI

Amazon

New York, NY

Full-time

Posted 18 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,100 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Are you interested in shaping the future of Advertising and B2B Sales. We are a growing science and engineering team with an exciting charter and need your passion, innovative thinking, and creativity to help take our products to new heights.
Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products are strategically important to our businesses driving long term growth

We break fresh ground in product and technical innovations every day!
Within the Advertising Sales organization, we are building a central AI/ML team and are seeking top science talent to build new, science-backed services to drive success for our customers. Our goal is to transform the way account teams operate by creating actionable insights and recommendations they can share with their advertising accounts, and ingesting Generative AI throughout their end-to-end workflows to improve their work efficiency.
As a part of our team, you will bring deep expertise in quantitative modeling (statistical modeling, machine learning, experimentation, and causal inference) to build and refine models that inform how account teams operate. You will apply generative AI within our ad sales support technologies, and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders and customers

You will be part of a team of fellow scientists and engineers taking on iterative approaches to tackle big, long-term problems.
Why you will love this opportunity: Amazon has invested 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 ads 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; this is your opportunity to work within the fastest growing businesses across all of Amazon. Turn customer needs into data science problems and actionable recommendations for your product, engineering, and sales partners

This role combines analytical rigor, technical strength, product focus, and business understanding.
Key job responsibilities
- Build and apply LLM-based solutions (retrieval-augmented generation, prompting, and agentic workflows) to solve Ad Sales problems and generate seller-facing insights and recommendations.
- Translate ambiguous business problems into data science problems, and build the statistical and machine learning models that complement LLM workflows, such as ranking, retrieval evaluation, segmentation, and forecasting.
- Analyze large, complex datasets, including conversation and LLM interaction data, to surface insights, quantify gaps, and identify opportunities to improve our generative AI products.
- Design and run experiments (A/B tests, offline and online evaluations, causal inference) and define metrics that measure the quality, accuracy, and business impact of LLM-driven solutions.
- Write code (Python, SQL) to acquire, transform, and analyze data at scale, and partner with applied scientists and engineers to move solutions into production.
- Present findings and recommendations clearly to technical and non-technical audiences, and mentor junior data scientists on your team.
About the team
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models, including the development of advertiser insights, recommendations and Generative AI-powered applications throughout account team workflows.


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

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