Entry Level Data Science Engineer Jobs

New grad data science engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can outweigh a long resume. Most openings mix on-site and remote roles across Technology & Software, Education, and Consulting & Professional Services, with employers like TikTok, Amazon, and AIG hiring at this level now.

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Overview

Open roles18
Top stateCalifornia
Top employerTikTok
Top citySan Jose, CA
Work type80% On-site
Top industryTechnology

Showing 5 of 18+ Entry Level Data Science Engineer jobs

Assistant Professor, 9 Month Salaried - Spatial Data Science (Multiple Vacancies)
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Assistant Professor, 9 Month Salaried - Spatial Data Science (Multiple Vacancies)
Florida State University
Tallahassee, Florida
Higher Education
Research & Academia
Teaching & Instruction
10,000+

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Data Science Analyst
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Added 2w ago
Data Science Analyst
OneMain Financial
Wilmington, Delaware
Business Analysis
Business Analyst
Business Operations
5,001-10,000

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2027 Data Science Internship - United States, PhD or Masters Student
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2027 Data Science Internship - United States, PhD or Masters Student
Amazon.com
Seattle, Washington
Data Science & Analytics
IT Support
Technical Program Management
$103k/yr
10,000+

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Data Science and AI/Machine learning Intern
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Data Science and AI/Machine learning Intern
Fishbeck
Grand Rapids, Michigan
Data Science & Analytics
IT Support
Technical Program Management

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Assistant Professor in Data Science
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Added 2mo ago
Assistant Professor in Data Science
University of New Mexico
Albuquerque, New Mexico
Higher Education
Research & Academia
Teaching & Instruction
Doctoral degree in mathematics
10,000+

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Entry Level Data Science Engineer Job Market

Who's Hiring

TikTok2 open roles
Amazon2 open roles
AIG1 open role

Top Industries Hiring

  • Technology & Software
  • Education
  • Consulting & Professional Services
  • Retail
  • Insurance

Entry Level Data Science Engineer Jobs: Frequently Asked Questions

How do I get an entry level data science engineer job?

Build a portfolio that shows you can clean messy data, train models, and communicate results clearly. Employers at this level look for hands-on projects on GitHub, familiarity with Python and SQL, and exposure to tools like Spark or TensorFlow. Internship experience helps, but self-directed projects and bootcamp work are widely accepted. Tailor each application to the tech stack listed in the job description.

Which companies hire entry level data science engineers?

Companies hiring entry level data science engineers right now include TikTok, Amazon, and AIG, based on current listings on Migrate Mate as of November 2026. The hiring mix covers large technology firms, early-stage startups, and established enterprises in finance and healthcare, many of which run structured new grad programs or rotational cohorts designed for candidates just entering the field.

Are there remote entry level data science engineer jobs?

Yes, though on-site and hybrid roles still make up a significant share of new grad postings. About 20% of entry level data science engineer openings are remote or hybrid as of November 2026, so candidates who prefer flexibility have real options while those open to in-person work will find the widest selection of roles to choose from.

Are these new grad data science engineer jobs?

Yes, the listings here include new grad, recent graduate, and junior data science engineer roles. A posting is new-grad friendly when it welcomes zero to two years of experience, counts internships or co-ops as qualifying experience, or explicitly accepts a strong portfolio in place of full-time work history. These signals indicate the employer is prepared to invest in someone early in their career.

Which industries hire the most entry level data science engineers?

Entry Level data science engineer roles concentrate in Technology & Software, Education, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. Those sectors generate large volumes of structured and unstructured data that require engineering pipelines to be built and maintained, which creates consistent demand for junior talent who can contribute to data infrastructure from day one.