New-Grad-Data-Science-Jobs-2027

What the repository tracks

New-Grad-Data-Science-Jobs-2027 is a GitHub repository that gathers entry level data science, analytics, artificial intelligence, quant, and machine learning roles intended for new graduates in the United States. The README presents the project as a real time updated collection of openings rather than a one time snapshot, and the project badge reports 1579 data science jobs at the time of writing. The same badge row reports 606 postings under the Data Scientist label and 373 distinct companies, giving a sense of breadth without promising completeness.

The list is oriented toward students and recent graduates who are looking for their first full time role. The project description names analytics, AI, quant, and machine learning as the included domains, so the scope is broader than the data scientist title alone. Because the data lives in a public Git repository, anyone can read the current state of the list, inspect how it changed over time through commit history, and fork or watch the project. The last update badge is derived from the GitHub last commit, which is the mechanism the project uses to signal how fresh the listings are. The repository is primarily HTML and is rendered as a GitHub Pages site at the linked homepage, which acts as the browsable front end for the raw job data stored in the repository.

How to add and update listings

The README asks the community to help the list grow by adding new jobs through GitHub issues, and it points readers to a CONTRIBUTING-GUIDE.md file for the concrete steps. This issue based workflow means a contributor does not need merge rights to suggest a role. They open an issue describing the posting, and the maintainers fold it into the dataset. The tip is phrased as a direct invitation, noting that submissions keep the collection current as new graduate cohorts search each hiring cycle.

Keeping the data accurate depends on this loop. Job postings for new graduates open and close on employer schedules, and a manually curated list goes stale quickly without steady input. The real time claim in the README is backed by the last commit badge, so the freshness of the list is something visitors can verify for themselves rather than take on faith. The CONTRIBUTING-GUIDE.md is referenced but not quoted in the README excerpt, so the exact format a contributor must follow lives in that separate file. Students who find a role that is missing or already filled are the intended reporters. The project leans on a distributed group of readers rather than a central editorial team, which is a common pattern for open job boards that want to stay current without paid staff.

The Zapply website and autofill extension

Beyond the raw list, the README promotes a companion product called Zapply and links to its onboarding page with a referral tag for this data science repository. The listed features are a Chrome extension that autofills job applications in seconds, a dedicated job board showing the latest openings across various roles, user accounts that support multiple profiles for different resume types and roles, and job application tracking that uses streaks and commitment awards to encourage steady progress. The extension is the part most directly tied to the listing data, since autofilling applications depends on having structured job and profile information ready.

The README frames Zapply as an advanced career journey tool rather than a replacement for the open list. The job board surfaces openings, the multiple profiles let a candidate tailor a resume to a role, and the tracking features give feedback on consistency. The Discord link in the Explore Around section is offered as a place to connect with other students and new grads for advice, extending the project from a static list into a small community. None of these companion features change the nature of the GitHub repository itself, which remains the open, version controlled source of the job counts shown in the badges. Readers who only want the data can use the repository, while readers who want an application workflow can move to the Zapply site and extension.

Editorial conclusion

The repository tracks 1579 data science jobs across 373 companies and links out to a Zapply job board and autofill extension. It is published as a static GitHub Pages site and invites new entries through GitHub issues.