November 15, 2026

Best job sites for data scientists and analysts (2026)

Job sites for data scientists and analysts, ranked by employer source, one listing per role and closed-role handling, with the catch for each one.

Career

Guide

Alternatives

For data scientist and analyst roles, start with one search built on employer postings, HighCircl Job Search or HiringCafe, then add one data board, DataScienceJobs or DataJobs.com, for roles a general search misses. Analysts also get a startup option on Wellfound. We ranked six sites on four checks: employer source, one listing per role, closed roles removed and a built-in tracker.

Best job sites for data scientists and analysts at a glance

SiteTests its own pages confirmBest forCatch
HighCircl Job SearchEmployer ATS only; one listing per role; closed removed; trackerEmployer-sourced search with trackingGeneral search, no data category
HiringCafeCompany websites; says it is improving duplicate and stale detectionLarge employer-sourced poolTracker covers jobs saved on HiringCafe
JobrightCareer sites plus job platforms; says it screens fake listingsSize and AI matchingAuto-apply focus, paid tier
DataScienceJobsNot statedML and AI rolesNo analyst category
WellfoundNot statedStartup roles, with analyst pagesNot data-specific
DataJobs.comNot statedNiche board with analyst titlesNo stated sourcing or closed-role rule

Checked November 2026. "Not stated" means the site's own pages don't say. More in our tech job search guides.

Which job site is best for data scientist and analyst roles?

Job Search is our product, a search plus a tracker. It takes roles only from the applicant tracking systems companies post on, such as Greenhouse, Lever and Ashby. Nothing comes from Indeed or LinkedIn. A role closes when the company takes it down and never shows in search, and a role posted in several cities is one result with the cities inside.

The tracker runs Saved, Applied, Interviewing, Offer and Closed, as a board or a table, with an applied date and the steps you log.

The catch: it's a general search with no data category, so you search by title. It's also far smaller than HiringCafe and Jobright.

2. HiringCafe

HiringCafe is a free search engine that says it collects jobs directly from company websites and filters out outside recruiting agencies. It also says it keeps improving the detection of stale and duplicate postings, but it gives no rule or interval. It lists over 5 million open jobs. Our Job Search against HiringCafe comparison goes through the differences.

The catch is tracking. Its Job Tracker is free, but saved and applied HiringCafe jobs are what appear in it, and it doesn't describe adding roles from elsewhere. It also shows ads.

3. Jobright

Jobright says its US listings come mainly from the career sites of hundreds of thousands of companies, plus postings aggregated from major job platforms. That second half means job-board postings appear alongside career-site ones. It reports 8,000,000+ total jobs, says it screens out fake listings, and has H1B and remote searches.

You'd pick it if you want size and an AI-driven search. The catch is that it's built around matching and an auto-apply agent, and it offers daily free credits with a paid tier for more, so ask what the paid tier costs before you rely on it.

4. DataScienceJobs

DataScienceJobs is the data-specific option, and the right second tab for ML and AI roles. Its home page sorts jobs into AI, Computer Vision, Data Engineering, Data Science, Deep Learning and Machine Learning, and shows 2,145 open jobs in the USA. Latest listings include Adobe, Apple and Pfizer.

The catch: there's no data analyst category, and the site doesn't say where listings come from or how it handles reposts and closed roles. Its industry list includes Staffing and Recruiting. Premium adds more fresh jobs, level and salary filters and alerts.

5. Wellfound

Wellfound is a startup job site. It says it has over 130k remote and local startup jobs, across all roles rather than only data ones. For analysts, it has Data Analyst Jobs and Remote Data Analyst Jobs pages, so it's the startup option on this list. You can set salary and equity upfront, filter by industry, job title and location, and apply with one click to connect with founders and recruiters.

The catch: it says nothing about where listings come from, or how it handles reposts and closed roles.

6. DataJobs.com

DataJobs.com describes itself as "rarefied talent in data science, data technology, and analytics." Its job sections are Data Science / Analytics, Data Engineering and Data Technology. Popular titles include Data Scientist, Analytics Manager, Statistician, Business Intelligence, Business Analyst and Data Engineer. Employers can post jobs there, so it's a niche board that gives analysts titles to search directly.

The catch: its home page shows no job counts, and says nothing about sourcing or closed roles.

How do you tell a real data posting from a stale one?

Whichever site you use, three checks settle whether a role is live:

  1. Find the role on the employer's own careers page. If only a board has it, treat it as a copy.
  2. Look for a posting date, and be wary of roles that have sat open for months.
  3. Reload the apply link. A role the company has closed usually stops loading or redirects.

Our checks for a ghost job go further. Niche boards help only if they show the same facts, and none of the other boards here publishes a rule for stale postings. That's why the first slot goes to a source that removes closed roles for you.

What to do with your search this week

Pick three places, not ten. Take a data analyst choosing where to search this week. Her first is an employer-sourced search for "data analyst": Job Search shows each role once and drops closed ones, and HiringCafe says it is improving detection of both. Her second is DataJobs.com, for its Business Analyst and Analytics Manager titles. Her third is Wellfound's Data Analyst Jobs page, for startups. A data scientist aiming at ML or AI swaps in DataScienceJobs as the data board.

Then decide where the applications live. If your applications involve take-homes and multi-round loops, a title and a date aren't enough. Log each step as it happens, including the day an assignment was due. If one goes quiet, what to do after a take-home goes quiet covers the follow-up.

Job Search in open beta

A data search tends to spread across a board, a startup site and a few company pages, and a due date is easy to lose between them. Job Search keeps those applications on one board or table. It's free during the open beta. Try Job Search by HighCircl.

FAQ

Which job sites list data analyst jobs?

DataScienceJobs has no analyst category. Try DataJobs.com, which lists Business Analyst and Analytics Manager among its popular titles, or Wellfound's Data Analyst Jobs pages. You can also search your title on Job Search, HiringCafe or Jobright.

Is DataScienceJobs free?

You can browse its home page without paying. Premium adds more fresh jobs, level and salary filters and job alerts. Check the site for its current price.

Are niche data job boards better than LinkedIn?

They're smaller and less crowded, but none of them publishes a rule for stale postings. Use one as a second tab, not your only source.

Is HiringCafe free?

Yes. As of November 2026, HiringCafe describes its product and its Job Tracker as free, with optional paid membership.

Where do I track take-home assignments?

Log the take-home as a step on the application, with its due date and the day you submitted it. In a spreadsheet that's two columns, and on a Job Search board it's a step under Interviewing.

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HighCircl Editorial Team

The HighCircl editorial team writes about hiring software engineers, nearshore development, and engineering team building. Our articles draw on direct experience sourcing and placing senior developers across Poland, Hungary, Slovakia, Serbia, Slovenia, Romania, and Spain — and on candid conversations with the CTOs and engineering leads who hire them.

HighCircl is a nearshore engineering network that delivers matched candidate shortlists in 72 hours. Every piece of content we publish is informed by real engagement data: actual developer rates, real hiring timelines, and what separates engineering teams that scale cleanly from those that stall.

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