Entry-level data science jobs in the U.S. appear on major job boards including LinkedIn (over 4,000 listings), Indeed (1,001-2,298 listings), Glassdoor (965-2,034 listings), and ZipRecruiter (1,000+ listings), based on official 2026 search results. These platforms aggregate postings from employers seeking junior talent with skills in Python, SQL, and basic analytics. U.S. job seekers with limited experience can access these opportunities through targeted searches and filters. Job counts fluctuate daily due to new postings and expirations, so treat volumes as directional guides and set up alerts for real-time updates.
Why These Platforms for Entry-Level Data Science Jobs
Major job boards serve as central hubs for entry-level data science roles because they pull listings directly from company career pages and applicant tracking systems. Employers post junior positions here to reach candidates with bachelor's degrees or bootcamp certifications in data science, statistics, or related fields.
LinkedIn shows over 4,000 "Data Science Entry Level" jobs in the United States, per its official search results. Indeed displays 1,001 "Entry Level Data Scientist" jobs and 2,298 "Data Science Entry Level" jobs from its search pages. Glassdoor lists 965 "entry level data scientist" jobs and 2,034 "entry level data science" jobs in the U.S., according to its job search results. ZipRecruiter reports 1,000+ "Entry Level Data Scientist" jobs on its platform.
These counts come from 2026 platform searches and indicate steady availability, though platforms differ in indexing speed and employer participation. No platform guarantees outcomes, but their scale supports broad scanning for U.S.-based junior roles.
Platform Comparison Table for Entry-Level Searches
Use this table to compare job volumes, filters, and fits at a glance. Volumes reflect official 2026 U.S. searches for entry-level data science or data scientist terms; refresh links for current data. Bookmark searches and enable alerts on your top choices.
| Platform | Job Volume (U.S. entry-level data science/scientist) | Key Search Filters | Best-Fit Scenario |
|---|---|---|---|
| 4,000+ | Experience: Entry level; Location: United States; Keywords: "data science entry level" | Networking tie-ins with recruiters | |
| Indeed | 1,001-2,298 | Experience: 0-1 year; Easy Apply; Date posted: Last 7 days | High-volume quick scans |
| Glassdoor | 965-2,034 | Location: United States; Entry-level tags; Company ratings | Company reviews and insights |
| ZipRecruiter | 1,000+ | Keywords: Entry-level; Location: U.S.; One-click apply | Fast application volume |
How to Search for Entry-Level Jobs on Each Platform
Follow these workflows to locate and apply to U.S. entry-level data science jobs efficiently. Start with exact phrases, then refine.
LinkedIn Step-by-Step Workflow:
- Go to the Jobs tab and enter "data science entry level" in the search bar.
- Filter by Location: United States and Experience level: Entry level.
- Sort by Date posted and toggle "Easy Apply" for quick submissions.
- Set job alerts: Click "Create job alert" to email new matches daily.
- Verify: Check "Posted by" for recruiter posts and company pages for legitimacy.
- Network: Connect with posters listing "entry-level" roles, using a note like "Interested in your data science entry-level opening."
Indeed Step-by-Step Workflow:
- Search "entry level data scientist" or "data science entry level."
- Filter by Location: United States, Experience: 0-1 years, and Easy Apply.
- Use advanced options for Remote (if needed) and Date posted: Past week.
- Apply directly via one-click where available.
- Save searches and enable email alerts for updates.
- Upload resume once for all Easy Apply jobs to speed up volume applications.
Glassdoor Workflow:
- Search "entry level data science" or "entry level data scientist."
- Filter to United States and sort by new postings.
- Review company ratings (4+ stars preferred) and salary estimates before applying.
- Use the bell icon to set alerts for matching jobs.
- Cross-check reviews for mentions of junior hiring or data team culture.
ZipRecruiter Workflow:
- Enter "Entry Level Data Scientist."
- Select U.S. locations and filter by job type (full-time preferred).
- Use one-click apply for rapid submissions.
- Enable notifications for new matches via email or app.
- Match your profile to auto-suggest similar roles.
Always check posting dates (aim for under 30 days) and cross-verify with the employer's site for active status.
Best-Fit Platforms by Your Job Search Needs
Match platforms to your priorities for efficient hunting.
For high-volume scanning, use LinkedIn (4,000+ listings) or Indeed (up to 2,298) to cast a wide net across employers.
Seek company insights on Glassdoor (965-2,034 listings), where reviews reveal culture and interview processes alongside jobs.
Prioritize quick applies with ZipRecruiter (1,000+) or Indeed's Easy Apply feature to submit 10+ applications per hour.
Stack 2-3 platforms: Scan LinkedIn for networking, apply via Indeed, and research on Glassdoor. Niche boards exist for specialized roles, but these four cover most U.S. entry-level volume.
Platform Selection Decision Table
Use this table to pick platforms based on your weekly search time and goals. Score each 1-5 (5 highest fit) for your needs.
| Your Priority | Indeed | Glassdoor | ZipRecruiter | Why It Fits | |
|---|---|---|---|---|---|
| 30+ jobs/day scan | 5 | 5 | 3 | 4 | High volumes on LinkedIn/Indeed |
| Recruiter networking | 5 | 2 | 3 | 1 | LinkedIn's direct connections |
| Company culture check | 3 | 2 | 5 | 2 | Glassdoor reviews |
| 10+ apps/hour | 3 | 5 | 2 | 5 | Easy/one-click applies |
| Remote/U.S. flexibility | 4 | 5 | 4 | 4 | Strong location filters |
| Total Score Example (High-volume + Quick apps) | 8 | 10 | 5 | 9 | Indeed edges for speed |
Adapt scores to your resume readiness and location preferences.
Common Mistakes and Limits When Searching
Relying on one platform wastes time - LinkedIn's 4,000+ exceeds Indeed's 2,298, but overlaps mean missing listings elsewhere.
Entry-level filters vary: LinkedIn offers "Entry level" explicitly, while Indeed uses "0-1 year." Combine keywords like "junior data scientist," "associate data scientist," or "data science intern to hire" for better results.
Counts fluctuate with indexing and timing; LinkedIn and Indeed update faster than others. Refresh weekly.
Spot red flags: Postings over 60 days old often close silently. Skip if no company contact or vague requirements like "expert Python" for entry-level. Platforms lack uniform "entry-level" tags, so manual keyword checks help.
Overlooking mobile apps: Download LinkedIn and Indeed apps for push alerts during commutes.
Application Tracking Checklist
Track progress to stay organized:
- [ ] Set alerts on 2+ platforms for "data science entry level" U.S.
- [ ] Create spreadsheet: Columns for Platform, Job Title, Company, Link, Date Applied, Status (Applied/Followed up/Rejected).
- [ ] Tailor resume: Scan 5 postings, add top keywords (e.g., Python, SQL, pandas).
- [ ] Optimize profile: LinkedIn "Open to work" for entry-level data science.
- [ ] Weekly goal: 10 applications, 3 follow-ups.
- [ ] Cross-apply: Prioritize employer site if listed on multiple boards.
- [ ] Broaden: Add "entry level data analyst" searches for gateways.
Next Steps to Start Applying Today
Daily routine: 30 minutes scanning alerts, 1 hour applying. Follow up via LinkedIn after 7-10 days with "Checking on my application for entry-level data science role."
Weekly review: Analyze spreadsheet for response rates by platform - double down on high-performers like Indeed for quick applies.
FAQ
Where exactly do I search on LinkedIn for entry-level data science?
Use the Jobs search, filter to Entry level experience and United States location, then set alerts.
Do these platforms have free entry-level filters?
Yes, basic searches and filters are available without cost on all four.
Why different job counts across sites?
Variations stem from search timing, indexing differences, and how platforms categorize "entry-level."