This is the hardest, highest-demand technical hire in the market right now. Beacon recruits leaders who can turn raw data into model-ready systems, including in regulated, high-stakes environments like healthcare.
See how we source AI/ML leadersThese are real searches Beacon has run and closed, not hypothetical examples.
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53% of US tech job postings now require AI or ML skills, up from 29% a year earlier. AI/ML and data science postings grew 163% year over year. Demand for AI governance skills alone is up 150%. This shifted faster than most hiring processes adapted to it.
It varies by company, but the core of it is consistent: leading a small team that turns raw data into analysis- or model-ready datasets, owning data quality end to end, and in regulated industries like healthcare, building compliance into the pipeline itself rather than treating it as a separate checkbox. Real candidates need both the technical depth (SQL, Python, data pipeline design) and, in regulated environments, real judgment about what can and can't be done with sensitive data.
Plenty of candidates have built a model in a notebook. Far fewer have owned a data pipeline that other teams actually depend on in production.
In healthcare and other regulated spaces, the technical bar and the compliance bar are both real. Ask directly how they've handled sensitive data before.
A leader in this role needs to explain data quality tradeoffs to non-technical stakeholders. Watch for candidates who can only talk in jargon.
If this is a leadership hire, they need a track record of building or growing a team, not just personally strong technical output.
On Beacon's own recent search, a Clinical Data Scientist Manager role closed at $185K total comp. AI/ML and data leadership roles broadly are commanding a real premium right now as demand keeps outpacing supply, don't anchor your budget to older market data.
This is currently the hardest search we run, and also, when worked directly rather than posted and hoped for, one of the fastest to close. We test candidates on real production experience and regulated-data judgment, not just familiarity with the terminology.
53% of US tech postings now require AI or ML skills, up from 29% a year earlier, and AI/ML and data science postings grew 163% year over year.
Commonly leading a small team that turns raw data into model-ready datasets, owning data quality and pipeline design, and in regulated industries, building compliance into the process.
Our own recent search closed at $185K total comp. Roles in this category are commanding a real premium as demand climbs.
Our own search closed in 43 days, our fastest of any engineering search, when the requirement was well-defined and worked directly.
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