Role at a glance
- Job function
-
AI & Data Data Science
- Salary
- Not Disclosed
- Location
- Seattle, Washington, United States
- Work arrangement
- On-site
- Employment
- Internship
- Education
- PhD
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Qualifications
Required
- Can relocate to where the internship is based
- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience in data science, machine learning or data mining
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)
About the role
Original posting provided by amazon
Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.
For more information on the Amazon Science community please visit https://www.amazon.science
Basic Qualifications
- Can relocate to where the internship is based- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
- Experience in data science, machine learning or data mining
- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data
- Must be eligible for and available for full-time (40 hours per week) internship for the whole duration of the internship
Preferred Qualifications
- Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive)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.
The starting pay for this position is listed below. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.
Seattle, WA, USA - 102,935.00 USD Annually
About the company
amazon
Large Enterprise
Amazon is a global leader in e-commerce and cloud computing, founded in 1994 by Jeff Bezos. Initially starting as an online bookstore, it has since expanded its offerings to include a vast range of products and services, including electronics, fashion, and digital content. With Amazon Web Services (AWS), the company also provides powerful cloud solutions to businesses around the world. Known for its innovation, customer-centric approach, and commitment to operational efficiency, Amazon continues to shape the future of retail and technology, consistently seeking new ways to enhance customer experiences.