Skip to content Skip to AI Search Skip to main nav
Back to Home
  • Log in
  • Sign up
  • Guests
Mercy University - Career and Professional Development
Career Technology ToolKit
Employers
Instagram YouTube
  • Career Paths
    • Career Paths Overview
  • Career Preparation
    • Resume and Cover Letter
    • Job Market Trends
    • Success In Academic and Professional Environments
    • Career Closet
    • Professional References and Letters of Recommendations
  • Career Connections
    • Building Your Network
    • Linkedin 101
    • MercyLink
  • Internships and Jobs
    • Student Internships
    • Full-Time Jobs
    • Handshake
    • Mercy Internship Grant
  • Federal Work Study
  • Events
    • Career Fairs
    • Upcoming Events
    • Past Recorded Events
  • About Us
    • ¡Bienvenidos a Mercy University!
    • Our Team
    • Campus Hours & Locations
  • Employers
Amazon
Visit Website
Watch Company Video

2026 Data Science Internship – United States, PhD or Masters Student

  • Share This: Share 2026 Data Science Internship – United States, PhD or Masters Student on FacebookShare 2026 Data Science Internship – United States, PhD or Masters Student on LinkedInShare 2026 Data Science Internship – United States, PhD or Masters Student on X
Recruitment began on June 6, 2026
and the job listing Expires on June 6, 2027
Paid Internship
Apply Now

Description
Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.

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.scienceBasic 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 internshipPreferred 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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $97,500/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Apply Now

Career Team Hours – In Person and Virtual Appointments

M Monday 9:00am - 5:00pm
T Tuesday 9:00am - 5:00pm
W Wednesday 9:00am - 5:00pm
TH Thursday 9:00am - 5:00pm
F Friday 9:00am - 5:00pm
Powered by uConnect Manage Career Community Alerts
Mercy University
Career and Professional Development
Instagram YouTube
555 Broadway
Dobbs Ferry, NY 10522
(914) 674-7203
cpd@mercy.edu
Privacy Policy | Terms of Service
Copyright © 2026 Mercy University
Powered by uConnect