Entry Level Data Science Lead Jobs

New grad data science lead jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship work can matter more than a long resume. Most openings are on-site 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 Lead 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 Lead 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 Lead Jobs: Frequently Asked Questions

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

Employers hiring at the entry level look for candidates who can demonstrate practical skills through project portfolios, academic coursework, or internship experience. Proficiency in Python or R, familiarity with machine learning frameworks, and the ability to communicate findings clearly give candidates a real edge. Tailoring your resume to show end-to-end project ownership, even on small datasets, signals the readiness employers want at this stage.

Which companies hire entry level data science leads?

Companies hiring entry level data science leads right now include TikTok, Amazon, and AIG, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a mix of tech startups building out early analytics teams and larger enterprises running structured new grad programs that pair junior hires with senior mentors.

Are there remote entry level data science lead jobs?

Yes, though on-site roles are still common at the entry level. About 20% of entry level data science lead openings are remote or hybrid as of November 2026, so candidates outside major tech hubs have real options. Remote postings at this level often come from companies that have built distributed teams and are comfortable onboarding junior talent without requiring daily in-person attendance.

Are these new grad data science lead jobs?

Yes, these listings include new grad, recent graduate, and junior roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internships or academic projects in place of full-time work history, or explicitly invites a portfolio submission. If a role asks for a degree but not years on the job, it is generally worth applying as a new grad.

Which industries hire the most entry level data science leads?

Entry Level data science lead roles concentrate in Technology & Software, Education, and Consulting & Professional Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at the entry level because they generate large volumes of structured and unstructured data and need junior talent to help build the pipelines and models that turn that data into decisions.