Hire data scientists who turn data into decisions

A good data scientist answers the business question first and reaches for machine learning only when it helps. Cubehire data scientists design experiments, build forecasts and predictive models, and explain results in plain English to the people who have to act on them.

Hire Data Scientists How we vet them
The work

What our Data Scientists build

Typical projects companies bring a data scientist in for.

1

A/B testing and experimentation

Test design, sample sizes and analysis that tells you whether a change truly worked.

2

Forecasting

Revenue, demand and staffing forecasts with honest ranges, not single guesses.

3

Customer analytics

Segmentation, lifetime value and churn analysis that guides retention spend.

4

Predictive models

Prototype models validated on your data and handed to engineering with clear results.

Skills

Skills we test every data scientist on

  • Python
  • R
  • SQL
  • pandas
  • scikit-learn
  • Statistics and hypothesis testing
  • Experiment design
  • Time series forecasting
  • Jupyter
  • Data visualization
  • Causal inference basics
  • Stakeholder communication
Vetting

How we vet Data Scientists

Every data scientist sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Designs an A/B test and explains how to avoid false positives from peeking at results.

  2. Check 2

    Interprets a model result for a non technical manager on camera.

  3. Check 3

    Chooses an approach for a forecasting problem and describes how to validate it.

Available now

Vetted Data Scientists in the network

Each profile carries a scored AI interview and a human review.

See the whole network

Tell us about your data scientist role

New profiles are approved every week. Describe the role and we will send matched, interview scored Data Scientists within 48 hours.

Describe the role
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring Data Scientists

Questions about hiring Data Scientists

What companies ask before they hire a data scientist through Cubehire.

Talk to our team
They use statistics and modeling to answer questions like which customers will churn, what demand will look like next quarter, or whether a new feature actually increased conversions.
It helps a lot. If your data is scattered across tools with no warehouse, consider hiring a data engineer first or alongside.
Some can, but production deployment and monitoring is a machine learning engineering job. Many teams pair the two roles.
Yes. Communication is scored in the video round of every interview, and data scientist roles weigh it heavily.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

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Ready to hire a data scientist?

Tell us the stack and the work. You get matched, interview scored Data Scientists within 48 hours.

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