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Hire Top Data Scientists in LatAm. Same Quality. 81% Less.

Hire elite Data Scientists in 22 days. Only interview talent pre-vetted for skill, experience, and cultural fit. We handle everything else.

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Why Hire Data Scientists in LatAm?

Hot Spot for Data Talent

LatAm has a booming data ecosystem with millions of skilled Data Scientists.

US Time Zones

LatAm data scientists work during US working hours, making collaboration seamless. You’re hiring teammates, not offshore resources.

Seamless Work Culture

Near’s proven hiring process delivers candidates who are both a cultural and professional fit—helping you boost retention and build stronger teams.

Strong English

We don’t just screen for skills. We ensure all candidates have strong English proficiency.

Lower Operational Costs

LatAm salaries are 30-70% below US market. Hire the top 1% while keeping your hiring budget in check. It’s a win-win situation.

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Top-Caliber Candidates in 3 Days.

160k+ pre-vetted candidate pool

We handpick the top 3 for your role based on skill, experience, and culture fit. In 3 days, interview candidates with track records at companies like:

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Hire LatAm's Top 1% Data Scientists in 22 Days

Join 950+ fast-growing US companies building high-performing teams with top LatAm talent—while cutting hiring costs by up to 81%. Hire smarter. Start your search today.

LatAm Data Scientist Salaries and Skills by Experience Level

Make the right hire with transparent salary data and clear skill benchmarks for junior, mid-level, and senior remote Data Scientists in Latin America.

Jr. Data Scientist

  • Bachelor’s Degree in Data Science, Statistics, Computer Science, or related field
  • 1–2 years of experience working with data sets and statistical models
  • Basic knowledge of Python or R for data analysis
  • Familiar with machine learning concepts and libraries like scikit-learn or TensorFlow
  • Ability to clean, organize, and visualize data using tools like Excel or Tableau
  • Strong analytical mindset and attention to detail

Data Scientist

  • Degree in Data Science, Computer Science, Mathematics, or related discipline
  • 3+ years of experience applying machine learning and statistical modeling
  • Proficient in Python, R, and ML libraries such as scikit-learn, TensorFlow, or PyTorch
  • Skilled in working with large datasets and deploying data models
  • Experience in data wrangling, visualization, and feature engineering
  • Ability to translate complex findings into actionable business insights

Sr. Data Scientist

  • Master’s or PhD in Data Science, Machine Learning, or related field
  • 5+ years of experience in predictive modeling, deep learning, and advanced analytics
  • Expertise in Python, R, and advanced ML frameworks like TensorFlow, PyTorch, or XGBoost
  • Track record of deploying scalable data science solutions to production
  • Strong understanding of experimentation, A/B testing, and causal inference
  • Ability to lead data initiatives and mentor junior scientists

See a few of our 160k+ pre-vetted candidates

Elkin R.
Elkin R.

Data Scientist

Brazil

Seniority

Associate

Skills & Tools

Data & Operations Science
Marilina V.
Marilina V.

Data Scientist

Mexico

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Management
Data Scientist
Matias C.
Matias C.

Senior Data Analyst

Argentina

Seniority

Mid Level

Skills & Tools

MS Excel
Manuel P.
Manuel P.

Business Intelligence Analyst

Mexico

Seniority

Associate

Skills & Tools

PowerBI
MS Excel
Tableau
Pandas
Eric H
Eric H

Mid Level Data Engineer

Brazil

Seniority

Mid Level

Skills & Tools

Data Lakes
Data Engineer
Belen G.
Belen G.

Airtable Specialist

Bolivia

Seniority

Associate

Skills & Tools

Email Marketing
Airtable
Klaviyo
Zapier
Victor L.
Victor L.

Data Scientist

Brazil

Seniority

Senior / C-Level

Skills & Tools

Javascript
Statistical Data Analysis
Data Scientist
Luis S.
Luis S.

Data Scientist

Nicaragua

Seniority

Entry Level

Skills & Tools

ETL Softwares
Data Reporting
Data Scientist
Barbara H.
Barbara H.

DataOps Engineer

Perú

Seniority

Entry Level

Skills & Tools

Ops
No Code
Leandro M.
Leandro M.

Data Engineering Manager

Brazil

Seniority

Senior / C-Level

Skills & Tools

GCP
Azure
PowerBI
Hadoop
Data Engineer

Why Hire LatAm Data Scientists with Near?

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Faster Hiring

Interview 3+ candidates in 3 days. Pre-vetted for skill, experience, and culture fit. Get end-to-end support to make the right hire fast.

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Risk-Free Hiring

Pay nothing upfront. Hire only if you’re happy. Plus, every hire is backed by our 180-day free replacement policy.

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Build Real Teams

Every hire is a full-time teammate. Embedded in your team, aligned with your goals, and committed long-term.

500+
Data professionals placed
22
days average time to hire
Clients Love Us
High Performer
High Performer

Get Top Data Talent and Save up to 81% in Overhead Costs

Jr. Data Scientist

US Salary:

$118k — $213k

LatAm Salary:

$36k — $42k

Save up to
80%

Data Scientist

US Salary:

$213k — $252k

LatAm Salary:

$42k — $48k

Save up to
81%

Sr. Data Scientist

US Salary:

$252k — $330k

LatAm Salary:

$48k — $72k

Save up to
81%

How Near's Proven Hiring Process Works

1. Discovery session

Share your hiring goals and we’ll guide you on roles, markets, and comp. Then align on how to hire and what to offer.

2. Kick-off call

Meet your recruiter to finalize the role and build your hiring plan. We’ll align on profile, process, and timeline.

3. Interviews and hiring

Review 3+ top candidates in under 5 days. Interview, choose your hire, and we’ll handle the rest.

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THE RIGHT HIRE IN 3 WEEKS

After You Hire

Onboard, pay, retain

We support onboarding, payroll, and compliance, so your new hire integrates fast and sticks long term.

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Ongoing support & team expansion

Keep hiring with the same speed and quality whenever you need. Your recruiter stays close to support future hires, backfills, or scaling your team.

Interview for Free
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Zero-risk hiring. If you don't make a hire, you don't pay anything.

What Leading Enterprises Say About Near

Akshay Gokarnkar

Akshay Gokarnkar

Global TA Team Lead

EasyPark

"

Near is incredibly proactive and engaged and easy to communicate with. The team is also highly collaborative, making the entire process smooth and effective. They work today as valued extension of our internal team, which speaks to their strong partnership approach.

"
Drew Prescott

Drew Prescott

Co-Founder & CEO

R\nd

"

Near not only helped us navigate the hiring process but fundamentally changed our approach to building our team. Their ability to connect us with high-quality, dedicated talent has been invaluable.

"
Sydney Archer

Sydney Archer

VP of Business Ops

Digital Wildcatters

"

We had a seamless and impressive experience with Near. Their team was helpful and thorough, ensuring we received the most qualified talent for the position we were looking for. We filled the role within 2 weeks! We will be using Near for all of our remote hiring needs.

"
John Kennedy

John Kennedy

Founder / CEO

Mesa Cloud (EdTech platform)

"

We were determined to work with global talent in our local time zone, and Near helped us find great Latin American talent that has brought significant value to our team.

"
Gillian Alvillar

Gillian Alvillar

Human Resources Director

Rankings.io

"

When I check with the department managers, they all say, ‘It’s like 100 out of 10.’ The talent we’ve brought in through Near has been professional, articulate, intelligent, and absolutely the right fit for our team.

"
Adrian Alfieri

Adrian Alfieri

Founder & CEO

Verbatim

"

It really just felt like Near was embedded in our team. It felt like we’d hired an in-house recruiter. This made my job really easy.

"
Basil Hameed

Basil Hameed

Human Resources Director

Dynamic EcoHome

"

Working with Near has been fantastic since day 0. They are very communicative and attentive, and they source great candidates while keeping up with our constantly shifting needs and wants.

"
Bryan Harris

Bryan Harris

Director

LifeSource Water Systems

"

Near was a great extension of our internal recruiting team—efficient, communicative, and delivered top-tier candidates quickly.

"
Anton Lipkanou

Anton Lipkanou

President / Head of Client Services

DELVE

"

Near’s team gave us confidence that we’d hire great talent quickly. They did a deep dive into our requirements, asked the right questions, and communicated our needs and goals back to us. They advised us on compensation, different talent markets, and our hiring process.

"
Tom Elliott

Tom Elliott

Vice President of Product Management

Bonfire

"

It was shocking to see the difference between the talent Near brought versus other firms I worked with. Our hires are extraordinary and a great cultural fit.

"

Frequently Asked
Questions

Still have questions? Chat with us

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