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Entry Level Amazon Data Science Jobs (NOW HIRING)

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 ...

Amazon

Data Engineer II- AMZ26497.1

Seattle, WA · On-site

$144K - $178K/yr

Amazon Data Services, Inc. Position: Data Engineer II Location: Seattle, WA Multiple Positions ... Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science ...

Amazon

Data Scientist II - AMZ9803565

Culver City, CA · On-site

$158K - $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 ...

Amazon

Data Scientist II - AMZ9890779

Palo Alto, CA · On-site

$174K - $212K/yr

AMAZON.COM SERVICES LLC Offered Position: Data Scientist II Job Location: Palo Alto, California Job Number: AMZ9890779 Position Responsibilities: Design and implement scalable and reliable approaches ...

Amazon

Data Scientist II - AMZ24268.1

New York, NY · On-site

$169K - $207K/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 ...

Amazon

Data Scientist II - AMZ27022.1

San Diego, CA · On-site

$136K - $184K/yr

Amazon Web Services, Inc. Position: Data Scientist II - AMZ27022.1 Location: San Diego, CA Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate ...

Inizio Partners

Data Scientist

Dallas, TX

$90K - $110K/hr

About the Job The Data Science team partners with marketing, analytics, and digital optimization ... The position operates within a modern analytics environment leveraging Amazon Redshift, AWS ...

Amazon

Data Scientist II - AMZ26888.1

Mountain View, CA · On-site

$157K - $212K/yr

Amazon Web Services, Inc. Position: Data Scientist II Location: Mountain View, CA Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate decision ...

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All JobsEntry Level Amazon Data Science Jobs

Entry Level Amazon Data Science information

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.

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 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.
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Entry Level Amazon Data Science jobs near you
Data Scientist , AMXL Worldwide Science

Data Scientist , AMXL Worldwide Science

Amazon

Bellevue, WA

Full-time

Posted 22 hours ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,870 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description


Are you passionate about applying machine learning, time series forecasting, and operations research to transform the delivery of heavy and bulky items for Amazon customers. Are you excited about working with large-scale operational data and developing models that drive real business impact. If so, the Amazon Extra Large (AMXL) Science team may be the right fit for you.
AMXL is Amazon's specialized business for delivering heavy and bulky items - appliances, furniture, fitness equipment, and mattresses - with a premium customer experience that includes room-of-choice delivery, at-home installations, and assembly services

In this role, you will leverage large-scale operational data to develop and deploy predictive models and optimization solutions that solve real-world logistics and fulfillment challenges, partnering closely with scientists, engineers, and business stakeholders.
Key job responsibilities
Apply machine learning, statistical modeling, time series analysis, and operations research techniques to build solutions for delivery routing, capacity planning, demand forecasting, workforce scheduling, and network optimization
Analyze large-scale historical and real-time operational data to surface efficiency patterns, bottlenecks, and emerging trends across the AMXL network
Develop, validate, and deploy models that improve cost-to-serve and customer experience
Partner with cross-functional teams to implement data-driven strategies and measure impact
Build scalable, automated pipelines for data ingestion, feature engineering, model training, and validation
Monitor deployed model performance and communicate results through clear reporting on key operational and business metrics
A day in the life
You'll be part of a small, collaborative team of scientists who move fast and care deeply about the problems they solve. A typical week might involve whiteboarding a new forecasting approach with a senior scientist, partnering with engineers to push a model into production, deep-diving into operational data to understand why a metric moved, or presenting your findings to business leaders who will act on them. The work is high-visibility and high-impact

The models you build will directly influence how millions of heavy and bulky items reach customers.
About the team
The AMXL Science team is a worldwide group of data scientists, applied scientists, and product managers solving Amazon's most complex heavy bulky supply chain challenges. We build forecasting models, capacity planning systems, and optimization tools that directly impact millions of customer deliveries. Our culture values scientific rigor, measurable business impact, and clear communication

We start with baselines, earn complexity, and partner closely with operations to ensure our work drives real decisions. You'll tackle problems where logistics constraints demand creative, data-driven solutions - and see your models shape labor planning, routing, and customer experience at scale.

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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