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Hire a Data Scientist

Hire a data scientist without paying $145K+ a year. Get pre-vetted, AI-fluent data scientists starting at $5K per month. We handle sourcing, vetting, payroll, and compliance so you can run experiments that settle debates, predict churn before it happens, and put statistical rigor behind decisions you currently make on instinct.

Data Scientist ยท At a Glance
Starting pricefrom $5K/mo
Typical local cost$12Kโ€“$15K/mo
Overhead reductionup to 70%
Embedded within30 days
Experience level3โ€“7+ years
โœ“ Skills-tested for the role โœ“ AI-fluency assessed โœ“ Remote Readiness Score

Trusted by 100+ companies

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A Better Way to Hire a Data Scientist

The questions stacking up in your company, why users churn, which leads convert, whether that pricing change actually worked, need more than a dashboard. But hiring a data scientist locally means competing with tech giants for scarce talent, and it is painfully easy to hire someone who can recite theory but cannot move a business metric. Our model closes that gap, every candidate has already proven they can produce work that changes decisions.

Every candidate goes through structured skills-based testing in statistics and machine learning, real-world scenario evaluation on business problems with messy data, and a hands-on AI fluency assessment. When you hire a data scientist through us, they are working in your data within 30 days, and we handle the employment contract, payroll, and compliance without adding to your plate.

What does a Data Scientist do?

A data scientist applies statistics and machine learning to your hardest business questions, the ones a dashboard can describe but never explain. A dedicated one means big decisions get tested instead of debated.

  • Design and analyze A/B tests properly, with power calculations and honest readouts instead of peeking at dashboards
  • Build churn and lead-scoring models that give your sales and success teams a ranked list, not a hunch
  • Dig into why metrics moved, separating real causes from seasonality, mix shifts, and noise
  • Translate findings into plain recommendations your leadership team can act on the same week

When is it time to Hire a Data Scientist?

The trigger is a big decision made on a coin flip, a pricing change, a feature bet, with real money riding on nobody checking the math.

You are running experiments without rigor, and results flip depending on who reads the dashboard

Churn keeps surprising you even though the warning signs were sitting in your data all along

Leadership debates the same strategic question every quarter because no one settles it with evidence

Your analysts can report what happened but nobody can model what happens next

Ready to Hire a Data Scientist? Settle the debate with evidence instead of opinions.

Hire a Data Scientist

When we say the best, we mean it

We only work with the top 5% of candidates when companies hire data scientist through us. Every candidate is skills-tested on the exact work this role does, assessed for AI fluency on real tasks, and scored with our proprietary Remote Readiness Score โ€” built from 1,000+ successful remote hires โ€” before they reach your team.

Starts from the business decision and works backward, rather than hunting for uses for a model

Says the data cannot support that conclusion, even when it is not what anyone wants to hear

Ships a useful answer in a week, then refines, instead of perfecting in a vacuum for a quarter

Explains uncertainty in plain language, so leaders know how much weight a finding can bear

Tested to get in. Trained to stay ahead.

Testing

Three tests, then a human interview

1
Role skills150+ assessments, built for the exact role they'll do for you
2
Remote readinessOur proprietary Remote Readiness Score โ€” built from 1,000+ successful hires
3
AI fluencyReal tasks with a live LLM โ€” prompting, workflows, judgment
4
Interviewed by a real humanTop scorers meet one of our recruiters before you ever see them
Only the top 5% get in See the tests โ†’
NEVER STOPS
Training

Then they keep getting better

Your hirealways in training
Webinars & podcasts w/ AI leaders Personalized AI paths Hackathons & meetups Claude Academy

How We Find You Amazing Talent in 30 Days

01

You Specify a Role

You share job description, core requirements & key skills we should screen for.

02

We Source Talent

We run skills-based testing and manual screening, then deliver 3-5 candidates.

03

We Confirm Alignment

We confirm each candidate is interested in your role & aligned with your company.

04

You Interview & Select

You interview each candidate and, if needed, run a 1-2 hour test project.

05

We Handle Onboarding

We handle identity verification, NDA, compliant contracts & full payroll setup.

06

Your Hire Starts Working

Talent is embedded into your team and works like any other team member.

How much does it cost to Hire a Data Scientist?

Hiring a data scientist locally typically costs $12,000 to $15,000 per month once you factor in salary, benefits, and overhead. With our model, you can reduce that cost by up to 70% while still getting a full-time data scientist working directly inside your warehouse, notebooks, and experimentation workflow.

Hiring locally
$12Kโ€“$15K/mo
Salary, benefits, and overhead factored in
Through us
from $5K/mo
Employment, contracts, and HR administration handled entirely on our side

We handle employment, contracts, payroll, benefits, and HR admin, while you set the priorities. When you hire a data scientist this way, insight compounds, validated models, a growing library of settled questions, and a team that gets used to deciding with evidence.

Common Questions

How quickly can a data scientist start?
Most teams have their data scientist exploring their data within 30 days of the first call. We present a shortlist in days, you interview, and we handle contracts and access.
How experienced are your data scientists?
Typically 3โ€“7+ years applying statistics and machine learning to business problems, with work that shipped, models in production, experiments that changed roadmaps rather than research papers.
How do you vet data scientists?
Structured skills-based testing in statistics and ML, a real-world case with messy data judged on rigor and business relevance, and a hands-on AI fluency assessment. Clear communication is a pass-fail criterion.
What tools do they know?
Python, pandas, scikit-learn, SQL, Jupyter, Snowflake, and visualization tools like Tableau, plus experimentation platforms and modern LLM tooling. We match candidates to your environment.
How do they differ from a data analyst?
An analyst reports what happened. A data scientist models why and what comes next, churn prediction, experiment design, causal analysis. Many teams pair the two, and we place both roles.
Can they work in my time zone?
Yes. When you hire a data scientist through us, candidates are matched to your working hours, so experiment reviews and stakeholder sessions fit your team's calendar.
How is this different from a freelance data scientist?
A freelancer delivers an analysis and disappears before the follow-up questions arrive. Your data scientist here is full-time, accumulates context on your business, and is employed through us with ongoing support.

Hire a Data Scientist today

Rigorous vetting, statistical depth applied to your actual business, and a cost that makes the role viable years earlier. Hire a data scientist and start settling your biggest questions.

Hire a Data Scientist