120+ Companies Hired
Pre-vetted talent · First shortlist within 48 hours
Looking for a Data Scientist analyzing complex datasets to derive business insights and build predictive models? Your product deserves the best engineering. Match with senior Data Scientist talent in Puerto Rico within 48 hours and start building faster.
Get a shortlist in 48h
Tell us who you're looking for
120+
Companies hired through EXZEV
48h
To receive a matched shortlist
2,847
Pre-vetted profiles across roles
31
Countries covered across the talent pool
Hiring Guide + Shortlist
The guide below walks through role definition, sourcing, screening, compensation, and onboarding. If you already know what you need, use the shortlist form and we'll match against candidates we've already assessed.
Best For
Founders hiring their first senior Data Scientist
CTOs or executives building a stronger team around this function
Hiring managers who need a shortlist and a rigorous interview framework
In This Guide
How to define whether you need a Data Scientist or a different technical profile
What a strong Data Scientist job description looks like — and what to remove
How to structure technical screening and final-stage interviews
What compensation bands and first-90-day onboarding plans look like in 2026
What You'll Get
How to define whether you need a Data Scientist or a different technical profile
What a strong Data Scientist job description looks like — and what to remove
How to structure technical screening and final-stage interviews
Our team is writing a complete hiring guide for Data Scientists. In the meantime, use the shortlist form to get pre-vetted candidates in 48h.
Talent Pool Snapshot
211
Open to offers
9.4
Avg EXZEV score
31
Countries covered
C. ********
SeniorSenior Data Scientist
·UK
C. ********
Senior Data Scientist
Senior7 yrs
UK
8.9
8.8
O. ********
LeadLead Data Scientist
·Singapore
O. ********
Lead Data Scientist
Lead12 yrs
Singapore
9.7
9.7
L. *****
MidData Scientist
·Portugal
L. *****
Data Scientist
Mid5 yrs
Portugal
8.4
8.4
E. *****
MidData Scientist
·Portugal
E. *****
Data Scientist
Mid3 yrs
Portugal
8.9
9.3
N. ******
MidData Scientist
·France
N. ******
Data Scientist
Mid3 yrs
France
—
—
O. *****
LeadLead Data Scientist
·Singapore
O. *****
Lead Data Scientist
Lead10 yrs
Singapore
8
8.4
R. *****
LeadLead Data Scientist
·Remote
R. *****
Lead Data Scientist
Lead13 yrs
Remote
9.7
9.9
E. ******
LeadLead Data Scientist
·USA
E. ******
Lead Data Scientist
Lead15 yrs
USA
9.7
9.9
L. ******
MidData Scientist
·Germany
L. ******
Data Scientist
Mid4 yrs
Germany
9.7
9.9
S. ********
MidData Scientist
·Singapore
S. ********
Data Scientist
Mid4 yrs
Singapore
—
—
I. ****
SeniorSenior Data Scientist
·Singapore
I. ****
Senior Data Scientist
Senior8 yrs
Singapore
8.1
8.3
R. ******
MidData Scientist
·Singapore
R. ******
Data Scientist
Mid3 yrs
Singapore
8.5
8.8
F. *******
MidData Scientist
·Singapore
F. *******
Data Scientist
Mid5 yrs
Singapore
7.8
8.1
F. ******
MidData Scientist
·USA
F. ******
Data Scientist
Mid5 yrs
USA
—
—
B. ******
SeniorSenior Data Scientist
·Portugal
B. ******
Senior Data Scientist
Senior5 yrs
Portugal
9.3
9.9
F. ******
SeniorSenior Data Scientist
·Singapore
F. ******
Senior Data Scientist
Senior9 yrs
Singapore
9.8
9.9
M. ******
SeniorSenior Data Scientist
·Germany
M. ******
Senior Data Scientist
Senior6 yrs
Germany
9.4
9.8
T. *****
SeniorSenior Data Scientist
·Germany
T. *****
Senior Data Scientist
Senior5 yrs
Germany
8.8
8.9
Client Reviews
“Exzev delivered a shortlist of senior backend engineers in under 40 hours. We hired two from the first batch — no back-and-forth, no wasted interviews.”
CTO
Series B Fintech
“We'd been trying to hire a Staff Engineer for three months. Exzev closed the search in two weeks. Their vetting is genuinely rigorous — not just resume screening.”
VP Engineering
Enterprise SaaS
“Finding a Solidity engineer who also understands protocol security is nearly impossible. Exzev found us exactly that in under a week. Still can't believe it.”
Founder & CEO
Web3 Infrastructure
“The flat-fee model is a breath of fresh air. No surprises, no upselling. Just fast, quality hiring for technical roles. We've used them three times now.”
Head of Talent
Healthtech Scale-up
“We refer Exzev to every portfolio company that needs senior engineers. Consistent quality across very different tech stacks and geographies.”
Managing Partner
Early-stage VC
“Hired an AI Engineer and a Data Engineer through Exzev. Both are still here 18 months later. That's the real metric — not time-to-hire, retention.”
Engineering Manager
AI/ML Platform
Frequently Asked
A Data Scientist typically costs $8,550/mo – $11,550/mo in total monthly compensation for a senior hire working remotely, with an upward skew for US-based and executive roles. On top of base, budget 10–25% for equity or bonus and roughly 15–20% fully-loaded overhead. Exzev charges a flat placement fee, not a percentage — pricing is transparent and shared upfront.
First shortlist lands in 48 hours. Most Data Scientist searches close between two and six weeks end-to-end, versus a market average of roughly 45 days for this role and location. The main drivers are interview throughput on your side and how tightly scoped the brief is — we guide both before sourcing starts.
A senior Data Scientist owns outcomes across ambiguity; a mid-level one executes a defined scope. For a first Data Scientist hire or a seat that reports to a C-level, always prefer senior — the cost of a bad leadership-adjacent hire typically exceeds two years of fully-loaded salary.
A full-time Data Scientist makes sense once the work is continuous and headcount-justified. For early-stage or one-off builds (a single product, a migration, an audit), a fractional or contract Data Scientist is usually more efficient. Ask one question: will this person be fully utilized inside six months?
Yes. Our active talent pool for this role spans roughly 570 pre-vetted candidates across 30+ countries, most of them comfortable with async-first or overlap-based remote setups. We match candidates to your working hours, location preferences (EU, US, UAE) and compliance constraints (EoR, contractor, local entity) before they reach your shortlist.
Every Data Scientist we send you has passed a three-stage screen: structured scoping interview, a live working session on a problem drawn from your brief, and two reference checks with named peers. We reject the majority of sourced candidates — you only meet the top of the funnel.