Hire Data Scientists
Screened for scientists whose models survive contact with production, not just the notebook.
Why STACK IT
Built to hire data scientists, not fill seats.
Most agencies optimize for volume. We optimize for the one hire who’s right, vetted by people who understand the work.
Recruiters who can vet a model
We screen for whether a scientist's models hold up on real data and ship to production, not just impress in a notebook. No candidate reaches you without two recruiters signing off.
Every candidate is real
Fake profiles, proxy interviews, and AI-assisted answers are everywhere in tech hiring. We meet each candidate face-to-face on video and screen for AI patterns, so who you interview is who shows up.
Screened to stay, not just to start
A hire that leaves in a year isn't a win. We align trajectory, growth, and total comp so the scientist grows with your team instead of moving on.
You pay only when they start
Success-based and non-exclusive, no upfront fees, no retainers. We invoice on your scientist's first day, not before.
How we screen
The Data Scientists Evaluation Rubric.
We screen for how data scientists actually think. Every shortlist is judged against the same five criteria that predict whether someone delivers in your codebase.
Strong signal
Picks methods that fit the data and the question, and knows when a simpler model wins.
Falls short
Reaches for the fanciest model and overfits to noise.
Strong signal
Ships models that run reliably on live data, not just in a notebook demo.
Falls short
Builds impressive notebooks that never reach production.
Strong signal
Spots leakage, bias, and bad labels before they quietly poison the result.
Falls short
Trusts the dataset and ships a confident wrong answer.
Strong signal
Ties the model to a decision or metric the business actually cares about.
Falls short
Optimizes accuracy on a problem no one asked to solve.
Strong signal
Explains what the model does, and where it fails, in plain terms.
Falls short
Hides behind jargon and treats the model as a black box.
Hire data scientists with confidence.
Real technical screening, a calibrated shortlist in days, and candidates vetted for fit, not just resumes. Let’s start your search.
- Pay only when they start
- First candidates in 24–48 hrs
- Screened for skills and fit
Specializations
Data Scientists, across your whole stack.
Whatever your team runs on, we screen for the people who do the work right.
Machine Learning
Models that hold up on live data.
Deep Learning
Neural nets for vision, text, and more.
NLP & LLMs
Language models put to real work.
Experimentation
A/B tests and causal inference done right.
MLOps
Models deployed, monitored, and retrained.
Data Wrangling
Turning messy data into real signal.
The cost of waiting
An open role isn’t free.
An empty seat doesn’t delay work, it redistributes it. The longer the search drags, the more it costs.
Every week a role stays open, the cost lands on the team you already have.
- Work waits in the backlog while priorities pile up.
- They cover work that isn’t theirs, until something slips.
- The longer the seat stays empty, the harder the restart.
Speed isn’t a nice-to-have. It’s the difference between a gap and a setback.
Time to fill this role
How you hire
Permanent or contract, your call.
Two models, one standard of quality. Bring on the data scientists you need the way that fits your timeline and budget.
Permanent
Permanent hire
Best when you’re building the team for the long term.
- You only pay when they start, success-based, no upfront fee.
- Full-cycle vetting for technical and cultural fit.
- Backed by our 90-day replacement guarantee.
Contract
Contract hire
Best when you need delivery capacity now, without adding headcount.
- We’re the employer of record: payroll, compliance, and onboarding handled.
- Most contractors placed in 5–10 business days.
- Convert to permanent anytime, with a buyout discount that grows each month.
Not sure which fits? Compare permanent vs. contract
FAQ
Hiring data scientists, answered.
The questions teams usually ask before starting a search with us.
We test rigor, not vocabulary. We walk through problems a candidate has actually solved, probe how they designed experiments, validated results, handled messy data, and communicated uncertainty, and check whether their conclusions held up. We look for people who know the difference between a real signal and a tempting coincidence.
A data scientist builds models and runs experiments to predict and explain, while a data analyst turns existing data into reporting and decisions. Different skill sets, and we screen for the right one.
Both. A specific modeling project can fit contract, while embedding a scientist in a team’s ongoing decisions is usually permanent. We will tell you which fits.
Strong, production-minded data scientists stay in demand, so we screen closely for the ones who ship rather than just publish, and benchmark against recent placements.
Permanent hires are success-based: you pay only when someone starts, with no upfront fee, backed by our 90-day guarantee. Contract runs on a transparent hourly rate. We will walk you through the specifics on an intro call.
Still have a question? Talk to a recruiter
Bill 190 compliant by default.
Every search keeps your hiring audit-ready in Ontario.
- Salary-range disclosure
- AI-use transparency
- Decisions within 45 days
Start a search
Tell us what you’re hiring for.
Share the role and we’ll reply within one business day with a calibrated shortlist of three to five data scientists, screened for your stack and your team.