Summary of "What Recruiters Look For In Data Scientists"
Key Takeaways for Early-Career Data Scientists
-
Recruiters aren’t the main route for most entry-level candidates: For truly entry-level roles (especially with little or no experience), recruiters typically only get paid to fill roles for experienced candidates. Relying on recruiters shouldn’t be your primary strategy.
-
Talent shortage shifts by experience level: There’s no shortage of recent grads, but once candidates gain about a year or more of experience, the pool shrinks quickly. At higher levels (e.g., VP/SVP searches)—especially when domain experience is required—hiring becomes harder and slower.
-
The first job is critical: Since the candidate pool becomes scarce after initial experience, the focus should be on helping candidates land that first (or early) gig.
-
Hiring managers do “risk management”: Candidates need to reduce the perceived risk of hiring them. When experience is limited, hiring decisions lean heavily on observable proof, such as:
- School pedigree (e.g., a “top 20” pedigree helps, though it’s not sufficient)
- Brand-name internships
- Readable papers and publishable-quality work
- Evidence of skill via projects and GitHub code
-
Personal connections matter: Beyond credentials, having someone “at the firm” from your program or via networking (conferences, friends, etc.) can be a major differentiator—often in the form of a personal referral.
-
Communication and likeability are underrated: Technical skills aren’t enough. Candidates should be personable, communicate clearly, and be confident/engaging in interviews—often requiring deliberate practice.
-
Build a personal brand early (value-first approach): O’Brien recommends self-promotion that mirrors how recruiters build relationships:
- consistently create and share useful content
- engage on platforms like Twitter
- maintain a blog
- position yourself around a specialty where you can demonstrate real expertise
-
Use a “give-first” strategy (“jab jab jab”): Borrowing from Gary Vaynerchuk’s “jab jab jab,” offer value repeatedly before asking for something (like an internship or interview). Target key decision-makers and build reciprocal relationships over time.
-
Don’t wait—hustle with targeted outreach: Start outreach early. Email and message people directly, and communicate with decision-makers (e.g., chief data scientist, head of analytics) rather than mass-resume dumping.
-
After early wins, recruiters will reach out more: Once you’re employed and can show real on-the-job proof, recruiters contact you more often—sometimes “annoyingly.”
Presenters / Contributors
- Mark Malloon (host): Mark Balloon (Mark balloon comm)
- Ted O’Brien (guest): Recruiter, Starbridge Partners
Category
News and Commentary
Share this summary
Is the summary off?
If you think the summary is inaccurate, you can reprocess it with the latest model.