Short answer

Tecla is the strongest fit for hiring data scientists, ML, and data engineers, vetted with a live technical assessment and an AI-fluency screen, employed under our EOR across the US and 18+ LATAM countries. Placing vetted technical talent is our core for over a decade.

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Top 10 Data Science Recruiting Agencies

#1 Tecla

Tecla places data scientists, ML engineers, and data engineers with US companies, and has since 2013, drawing on a vetted network across the US and 18+ Latin American countries, screened for real skill and aligned to US hours.

Skill proven before you meet them: every candidate passes a live technical assessment and an AI-fluency screen, so a data scientist or ML engineer has demonstrated real work with models, pipelines, and data, not just listed the tools on a resume.

Employment handled by default puts the hire under Tecla's EOR in their own country, so classification, payroll, and local labour law never land on the client, with a 90-day replacement guarantee in the agreement.

A full working-day overlap comes from a vetted network across the US and 18+ Latin American countries, so data work, model reviews, and stakeholder syncs happen in real time, and one relationship covers direct hire and staff augmentation.

Our verdict: for hiring data science and ML talent, Tecla is the strongest fit on this list. Placing technical people vetted for real skill, on your hours, is the core of what we do.

#2 Near

Near (Hire With Near) is an Austin-based nearshore staffing partner placing pre-vetted Latin American professionals, data scientists and analysts among them, who work directly for the client on US hours.

Nearshore Staffing Partner
Nearshore LATAMSpecialization
LATAMTalent region
EOR partnerEmployment
US-hours overlapDelivery
180 daysGuarantee
Best fit: teams wanting affordable LATAM data hires who report to them directly, with a long replacement window.
Reconsider if: you want the agency itself to employ the hire, or deep data-science-only vetting.

A clean nearshore placement model is the character: Near sources and vets professionals across roles, data scientists and analysts included, who report to you on US hours, with a 180-day replacement guarantee and no fee until you hire.

A generalist pool is the caveat for deep data roles, so data science specialization is thinner here than at a data-only firm, and employment sits with a partner.

Our verdict: a fair option for a nearshore data hire with the search de-risked, keeping in mind data science is one part of a broad pool.

#3 GoGloby

GoGloby is a Boston-based recruitment agency that builds nearshore data, AI, and engineering squads across Latin America, operating in US time zones under a single compliance-covered contract.

Nearshore Data & AI Recruiting
Data, AI, eng squadsSpecialization
Nearshore + globalTalent region
IncludedEmployment
US-hours alignedDelivery
120 daysGuarantee
Best fit: teams building nearshore data or AI squads with compliance bundled and a long guarantee.
Reconsider if: you want a very large enterprise bench or published rates.

Nearshore data squads with compliance bundled is the strength: pre-vetted data, AI, and engineering talent screened through multi-layer technical and communication assessments, on US time zones, under one SOC 2-aligned contract covering recruiting, payroll, and compliance.

A close overlap with Tecla's model is worth noting, so the deciding factors are bench depth, track record, and fit rather than structure, with pricing quoted per engagement.

Our verdict: a credible option for nearshore data and AI squads, particularly when a long guarantee and bundled compliance matter.

#4 Strider

Strider is a managed hiring platform connecting US teams with pre-vetted engineers and data professionals from Latin America, with a curated shortlist within about 48 hours.

Nearshore Developer Platform
Engineers & dataSpecialization
LATAMTalent region
ManagedEmployment
US-hours overlapDelivery
90%+ retentionGuarantee
Best fit: teams hiring vetted LATAM engineers and data professionals on US hours without managing logistics.
Reconsider if: you need a dedicated data-science-only pipeline or a broad global footprint.

Rigorous nearshore vetting is the strength: a LATAM engineering and data network screened for technical skill and English fluency, a shortlist within about 48 hours, and managed compliance, payroll, and onboarding.

A broad technical focus is the character, strong on engineers and data professionals working US hours, with the rate quoted per engagement.

Our verdict: a fair option for vetted LATAM data and engineering talent on US hours, with data science as one part of a broader pool.

#5 Harnham

Harnham is a global specialist in data and AI recruitment, with teams that focus only on niche areas across data science, ML, data engineering, and analytics, placing permanent, contract, and executive roles.

Data & AI Recruitment Specialist
Data & analyticsSpecialization
US, UK, EuropeTalent region
Client holdsEmployment
Onshore + remoteDelivery
Placement termsGuarantee
Best fit: companies wanting a deep data-and-analytics specialist with niche teams by discipline.
Reconsider if: you want nearshore talent, employment handled, or a full US-hours overlap.

Deep data-and-analytics specialization is the strength: niche teams dedicated to data science, ML, data engineering, analytics, and risk, with a strong client base across finance, retail, and healthcare.

A recruitment-only model is the character, so employment stays with the client and delivery follows placement terms rather than nearshore cost or timezone advantages.

Our verdict: a credible option for specialized data and analytics search, less suited to nearshore or employed placements.

#6 Burtch Works

Burtch Works is a US talent partner with 15 years in analytics recruiting, placing data science and analytics professionals from entry through executive, and known for its industry salary reports.

Analytics Search Firm
Data science & analyticsSpecialization
USTalent region
Client holdsEmployment
Contract or retainedDelivery
Placement termsGuarantee
Best fit: US teams wanting an established analytics search firm with deep compensation benchmarks.
Reconsider if: you want nearshore cost, employment handled, or US-hours overlap.

Analytics recruiting pedigree is the strength: 15 years placing quantitative professionals, entry through executive, backed by widely cited salary and market reports and newer AI-focused service lines.

A US, client-employed model is the character, so employment sits with you and delivery follows contract or retained terms rather than nearshore cost.

Our verdict: a credible option for established US analytics search with strong market data, less suited to nearshore or employed hiring.

#7 Averity

Averity is a New York technical recruitment agency with a dedicated data science team, placing data scientists and ML, NLP, and AI specialists with US companies.

Boutique Data Science Recruiting
Data science & MLSpecialization
USTalent region
Client holdsEmployment
US-basedDelivery
Placement termsGuarantee
Best fit: US teams wanting a high-touch boutique focused on data science, ML, and NLP roles.
Reconsider if: you want nearshore talent, employment handled, or reach beyond the US.

A high-touch data science focus is the strength: a dedicated New York team specializing in data scientists and ML, NLP, and AI specialists, with a relationship-driven, consultative process.

A US, client-employed boutique model is the character, so employment stays with you and reach is concentrated rather than global or nearshore.

Our verdict: a credible option for high-touch US data science hiring, less suited to nearshore or employed placements.

#8 Motion Recruitment

Motion Recruitment is a US IT staffing firm with hyper-specialized recruiters by technology vertical, placing data and ML engineers on contract and direct-hire across North American markets.

Specialized IT Staffing
Vertical specialistsSpecialization
North AmericaTalent region
Contract or directEmployment
Metro-basedDelivery
Engagement termsGuarantee
Best fit: teams hiring mid-to-senior data engineers in a specific US tech hub with deep local knowledge.
Reconsider if: you want nearshore cost, employment handled, or a remote-first bench.

Hyper-specialized recruiter knowledge is the strength: recruiters organized by technology vertical with deep, localized market networks across North American tech hubs, for contract and direct-hire data and engineering roles.

A metro-based US model is the character, priced on staffing terms and oriented to specific markets rather than nearshore cost or timezone advantages.

Our verdict: a credible option for specialized data hires in a US tech hub, less suited to nearshore or employed placements.

#9 Toptal

Toptal is an invite-only vetted network accepting fewer than 3% of applicants, covering data scientists, developers, and finance experts worldwide, matched within about a day.

Vetted Marketplace
Top 3% freelanceSpecialization
GlobalTalent region
Client holdsEmployment
GlobalDelivery
2-week trialGuarantee
Best fit: a senior freelance data scientist on a defined project where vetting rigor matters.
Reconsider if: you want an employed hire, US-hours overlap, or predictable all-in pricing.

Rigorous vetting and a fast match are the strengths: a top-3% acceptance claim, a no-risk trial, and senior data and ML specialists available quickly for project work.

Premium rates and contractor status are the tradeoffs, with employment as a separate product and pricing unpublished with an embedded markup.

Our verdict: a credible option for a vetted senior freelancer on a defined project, less so for an employed data scientist on your team.

#10 Korn Ferry

Korn Ferry is the leading executive search and organizational consulting firm, founded in 1969, placing chief data officers and senior analytics leadership across 50+ countries.

Executive Search & Consulting
Data leadership searchSpecialization
GlobalTalent region
Client holdsEmployment
GlobalDelivery
RetainedGuarantee
Best fit: chief data officer and senior analytics leadership searches where a retained firm is standard.
Reconsider if: you are hiring individual data scientists or want nearshore delivery.

The standard for data leadership search is the strength: over five decades placing senior leaders, backed by organizational consulting and assessment tools across industries.

A retained model for senior roles is the character, priced for leadership searches rather than individual data hires, with employment held by the client.

Our verdict: a credible option for chief data officer and analytics leadership searches, not the tool for individual or nearshore data hiring.

On methodology: figures reflect each agency's own published materials where they exist, and independent analyses and client-review platforms where they do not. Rates and terms change, so confirm current details with each agency before deciding.

What This Comes Down To

For hiring data science and ML talent, Tecla is the clearest decision here. Every candidate passes a live technical assessment and an AI-fluency screen across the US and 18+ LATAM countries, then is employed under our EOR on your hours, so the hire is proven before you meet them.

It also holds up as you grow: one relationship covers direct hire, staff augmentation, fractional leadership, executive search, and scoped builds, with a 90-day guarantee. A first data hire can become a full team, or a contract role permanent, without vetting a new vendor each time.

The others each own a lane. Harnham, Burtch Works, and Averity are deep data specialists; Motion Recruitment brings US scale; Korn Ferry owns leadership search; Toptal serves freelance; Near, GoGloby, and Strider share nearshore ground. For data vetted on skill, a specialist wins.

Hiring data scientists or ML engineers who can prove the work? Get vetting and employment handled together. Tell us the role.
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Frequently Asked Questions

What is the best data science recruiting agency?

It depends on the hire. Harnham and Burtch Works are deep data specialists, Korn Ferry leads data leadership search. For data scientists and ML engineers vetted on real skill, employed and on US hours, Tecla is the strongest fit, across the US and 18+ LATAM countries.

How do these agencies vet data scientists?

Approaches vary: recruiter screening at search firms, platform tests at marketplaces, and live assessment at specialists. Tecla runs a live technical assessment plus an AI-fluency screen on every candidate, so skill in modeling and data engineering is proven, not inferred.

Can I hire nearshore data scientists on US hours?

Yes. Nearshore agencies recruit in Latin America for that overlap. Tecla, Near, GoGloby, and Strider place LATAM data and ML talent aligned to US hours, so model reviews, data work, and stakeholder syncs happen in real time rather than across a large timezone gap.

What roles do data science recruiting agencies cover?

Most cover data scientists, ML engineers, data engineers, data analysts, and data leaders. Depth varies: generalist desks treat them as one bucket, specialists distinguish the roles. Tecla places data science, ML, and data engineering roles, vetting each for the skills needed.

How much does it cost to hire a data scientist through an agency?

Contingency search runs roughly 15 to 25% of first-year salary; retained search more; strong US data scientists often clear $250,000. Nearshore partners cut cost by 30 to 70%. Tecla quotes one scoped fee per hire, agreed up front, with employment included.

Can an agency employ the data scientist for me?

Some can. Tecla employs the hire under its EOR; GoGloby and Strider run managed models; Near uses an EOR partner. Harnham, Burtch Works, Averity, Motion, Toptal, and Korn Ferry leave employment with the client. Confirm this, as it changes who carries compliance.

Why do data science roles need a specialist recruiter?

Because the field spans math, statistics, engineering, and business, and few candidates are strong across all four. A recruiter who cannot tell an analyst from an ML engineer cannot judge fit. Specialists like Tecla vet the actual skills, so shortlisted candidates can do the work.

What is the difference between data science and data engineering hiring?

Data scientists build models and extract insight; data engineers build the pipelines that feed them. The skills overlap but are distinct. Tecla vets for the specific role, placing data scientists, ML engineers, and data engineers screened for what each job requires.

How fast can an agency place a data scientist?

It varies by model. Marketplaces surface candidates in days; specialist search can take longer for senior roles. Tecla presents vetted candidates shortly after the intake call, with a live technical assessment already done, so roles move fast without skipping vetting.

Are nearshore data scientists as strong as US-based hires?

Skill is about vetting, not location. Latin America has a deep senior data and ML pool, and a rigorous assessment surfaces it at nearshore cost with US-hours overlap. Tecla screens every candidate with a live technical assessment, so the bar is the same wherever the person sits.
Gino Ferrand
By 
Gino Ferrand
Gino Ferrand
Gino is an expert in global recruitment having spent the last 10 years leading Tecla and helping world-class tech companies in the U.S. hire top talent in Latin America.
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