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Entry Level Amazon Data Science Jobs (NOW HIRING)

... 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

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

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

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 ...

... in data science, advanced analytics and data to drive business outcomes. Experiences sought: Deep hands-on experience with advanced analytics on platforms on or similar to Amazon Ads, Amazon ...

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 ...

Principal Data Science Engineer

$138.20K - $185.30K/yr

They are seeking a high-impact Principal Data Science Engineer to develop core technology products ... Amazon (strongly preferred), Apple, Twitter, Amazon, Google, Meta, MicroSoft, Netflix, etc. Company

Data Scientist II - AMZ9803565

Culver City, CA · On-site

$158.81K - $184K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: Culver City, California Job Number: AMZ9803565 Position Responsibilities: Design and implement scalable and reliable ...

Data Scientist II - AMZ24268.1

New York, NY · On-site

$169.54K - $207.50K/yr

Apply a range of data science techniques and tools combined with subject matter expertise to solve ... Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran ...

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Entry Level Amazon Data Science information

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 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 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 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
What cities are hiring for Entry Level Amazon Data Science jobs? 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:
What states have the most Entry Level Amazon Data Science jobs? States with the most job openings for Entry Level Amazon Data Science jobs include:
Infographic showing various Entry Level Amazon Data Science job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 4% As Needed, 5% Full Time, 78% Part Time, 1% Temporary, and 11% Contract. Highlights an 93% Physical, and 7% Remote job distribution.
Robotics - Data Science Intern / Co-op - 2026

Robotics - Data Science Intern / Co-op - 2026

Amazon

Westborough, MA

$15.50 - $20.50/hr

Full-time

Posted 29 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,788 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job description

Are you passionate about data science. Do you want to solve real customer problems through innovative technology. Do you enjoy working on scalable research and projects in a collaborative team environment.

Do you want to see your science solutions directly impact millions of customers worldwide?
At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.
We're looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas such as robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more!
We're looking for curious minds who think big and want to define tomorrow's technology

At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.
By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).
Amazon intern and co-op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co-ops

Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day.

Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.
The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.
Key job responsibilities
Design and implement state-of-the-art solutions for never-before-solved problems.
Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
Partner with technology and product leaders to solve business problems using scientific approaches.
Build new tools and invent business insights that surprise and delight our customers.
Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
About the team
Learn more about Robotics at Amazon:
https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center
https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model


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About Amazon

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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