Amazon

About Amazon

The everything store and cloud computing leader

🏢 Tech👥 1001+ employees📅 Founded 1995📍 South Lake Union, Seattle, WA3.7
B2CB2BMarketplaceCloud ComputingeCommerce

Key Highlights

  • Headquartered in South Lake Union, Seattle, WA
  • Over 1.5 million employees worldwide
  • Leading cloud services through Amazon Web Services (AWS)
  • Acquired Whole Foods, Twitch, and Ring

Amazon, headquartered in South Lake Union, Seattle, WA, is the world's largest online retailer and a leader in cloud computing through Amazon Web Services (AWS). With over 1.5 million employees globally, Amazon operates in various sectors, including AI with its Alexa devices and a vast marketplace k...

🎁 Benefits

Amazon offers competitive salaries, stock options, generous PTO policies, and comprehensive health benefits. Employees also have access to a learning ...

🌟 Culture

Amazon's culture is driven by customer obsession and a focus on innovation. The company encourages employees to think big and move fast, fostering an ...

Amazon

Data Scientist Entry-Level

AmazonSeattle

Posted 2 months agoEntry-LevelData Scientist📍 Seattle💰 $97,500 - $97,500 / yearly
Apply Now →

Overview

Amazon is hiring a Data Science Intern for 2026 to develop and automate analytical models. You'll work with SQL, Python, and R to analyze data and present findings. This internship is ideal for PhD or Master's students.

Job Description

Who you are

You are a current Master's or PhD student with a strong passion for data and a solid foundation in modeling skills. You have experience with data scripting languages such as SQL, Python, or R, and are comfortable managing medium-scale modeling projects. Your background includes familiarity with statistical or mathematical software like R, SAS, or MATLAB, which you have used to build methodologies and tools grounded in statistical principles. You thrive in environments where you can own and execute data-driven projects, and you are eager to present your findings to business partners to drive improvements. You have a keen interest in data science, machine learning, and data mining, and you are excited about the opportunity to work with big data, processing and analyzing large datasets ranging from 100K to millions of rows. Experience with clustered data processing technologies such as Hadoop, Spark, or Map-reduce is a plus.

Desirable

While not required, experience with additional data processing tools and frameworks will enhance your application. You are adaptable and willing to learn new technologies as needed, and you have a collaborative mindset that allows you to work effectively with cross-functional teams. You are also open to relocating to where the internship is based, demonstrating your commitment to this opportunity.

What you'll do

During your internship at Amazon, you will develop, automate, and run analytical models that support our systems. You will build tools and support structures necessary for deep data analysis, helping to resolve system errors and changes. Your role will involve diving deep into data to uncover insights and trends that can inform business decisions. You will collaborate with other data scientists and engineers to enhance existing models and methodologies, ensuring they are statistically sound and effective. You will also have the opportunity to present your findings to business partners, helping to drive improvements based on your analyses. This internship will provide you with hands-on experience in the field of data science, allowing you to apply your academic knowledge in a practical setting.

What we offer

At Amazon, we value the contributions of our interns and provide a supportive environment for professional growth. You will have access to a range of resources and mentorship opportunities that will help you develop your skills further. We offer a competitive internship experience that includes the chance to work on impactful projects that contribute to our mission. You will be part of a diverse team that encourages collaboration and innovation, and you will gain valuable insights into the workings of a leading technology company. We are committed to fostering an inclusive workplace where everyone can thrive, and we encourage you to apply even if your experience doesn't match every requirement.

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