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Entry Level Amazon Data Science Jobs in Frisco, TX

Data Scientist II - AMZ27596.1

Irving, TX · On-site

$141K - $184K/yr

Amazon.com Services LLC Position: Data Scientist II - AMZ27596.1 Location: Irving, TX Multiple Positions Available: Design and implement scalable and reliable approaches to support or automate ...

Engineer II, Data

Dallas, TX · On-site

$113K - $136K/yr

Collaborate closely with Data Scientists, Analysts, and platform engineers Required Experience ... Amazon Kinesis * Practical experience with CI/CD pipelines, version control, and automated ...

Engineer II, Data

Plano, TX · On-site

$107K - $128K/yr

Collaborate closely with Data Scientists, Analysts, and platform engineers Required Experience ... Amazon Kinesis * Practical experience with CI/CD pipelines, version control, and automated ...

Junior/Entry Level Coder - Remote

Arlington, TX · On-site

$60K - $78K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. Required skills ...

Data Warehouse Developer

Dallas, TX · On-site +1

$48.75 - $66.75/hr

Works as a part of a dynamic team of biomedical researchers, database designers, data scientists ... Experience with Amazon Web Services: S3, Glue, SageMaker, Lake Formation, Lambda, Athena, RedShift ...

Data Warehouse Developer

Dallas, TX · On-site +1

$45.25 - $62/hr

Works as a part of a dynamic team of biomedical researchers, database designers, data scientists ... Experience with Amazon Web Services: S3, Glue, SageMaker, Lake Formation, Lambda, Athena, RedShift ...

Data Warehouse Developer

Dallas, TX · On-site

$45.25 - $62/hr

Works as a part of a dynamic team of biomedical researchers, database designers, data scientists ... Experience with Amazon Web Services: S3, Glue, SageMaker, Lake Formation, Lambda, Athena, RedShift ...

AMAZON.COM SERVICES LLC Offered Position: Hardware Dev Engr III Job Location: Irving, Texas Job ... Master's degree or foreign equivalent degree in Engineering, Computer Science, Physics, Material ...

... either Big Data or Hadoop. Amazon.com is an Equal Opportunity-Affirmative Action Employer ... Master's degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, or a ...

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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.
What are the most commonly searched types of Amazon Data Science jobs in Frisco, TX? The most popular types of Amazon Data Science jobs in Frisco, TX are:
What are popular job titles related to Entry Level Amazon Data Science jobs in Frisco, TX? For Entry Level Amazon Data Science jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Amazon Data Science jobs in Frisco, TX look for? The top searched job categories for Entry Level Amazon Data Science jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Entry Level Amazon Data Science jobs? Cities near Frisco, TX with the most Entry Level Amazon Data Science job openings:
Infographic showing various Entry Level Amazon Data Science job openings in Frisco, TX as of August 2026, with employment types broken down into 11% Internship, 78% Full Time, and 11% Temporary. Highlights an 100% In-person job distribution.

Data Scientist II - AMZ27596.1

Amazon

Irving, TX • On-site

$141K - $184K/yr

Full-time

Posted 24 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,062 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Employer: Amazon.com Services LLC
Position: Data Scientist II - AMZ27596.1
Location: Irving, TX
Multiple Positions Available:
Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.
(40 hours / week, 8:00am-5:00pm, Salary Range $141773 - $184000)
Amazon.com is an Equal Opportunity - Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
#0000
BASIC QUALIFICATIONS
Master's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and one year of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Statistics, Applied Mathematics, Economics, Engineering, Computer Science, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) building statistical models and machine learning models using large datasets from multiple resources; (2) writing SQL scripts for analysis and data migration; and (3) applying specialized modelling software including R, Python, or MATLAB.
#0000
PREFERRED QUALIFICATIONS
All applicants must meet all the above listed requirements.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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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