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.
.avif)
Trusted by 950+
fast-growing companies
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.
Top-Caliber Candidates in 3 Days.
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:
.svg.avif){kind=logo}
.svg.avif){kind=logo}
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.
See a few of our 160k+ pre-vetted candidates
DataOps Engineer
Seniority
Skills & Tools
Data Scientist
Seniority
Skills & Tools
Data Engineering Manager
Seniority
Skills & Tools
Head of Data and Analytics
Seniority
Skills & Tools
Senior Data Analyst
Seniority
Skills & Tools
Python Programmer
Seniority
Skills & Tools
Data Scientist
Seniority
Skills & Tools
Mid Level Data Engineer
Seniority
Skills & Tools
Airtable Specialist
Seniority
Skills & Tools
Data Scientist
Seniority
Skills & Tools
Why Hire LatAm Data Scientists with Near?
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.
Risk-Free Hiring
Pay nothing upfront. Hire only if you’re happy. Plus, every hire is backed by our 180-day free replacement policy.
Build Real Teams
Every hire is a full-time teammate. Embedded in your team, aligned with your goals, and committed long-term.
Get Top Data Talent and Save up to 81% in Overhead Costs
Jr. Data Scientist
Data Scientist
Sr. Data Scientist
Hire Data Scientists with the Right Skills
We deliver candidates with a proven track record across the skills, tools, and technologies that matter.
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.
After You Hire
Onboard, pay, retain
We support onboarding, payroll, and compliance, so your new hire integrates fast and sticks long term.
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.
%201.svg)
Zero-risk hiring. If you don't make a hire, you don't pay anything.
What Leading Enterprises Say About Near
Partnering with Near has been a major win. The speed, the talent pool, and the overall quality have not only met but actually raised our hiring expectations.
Near provides an easy hiring experience. They saved me a lot of time handling all the posting, sourcing, screening, and initial interviews. All I have to do is conduct final interviews to ensure cultural alignment. I made a hire in only 14 days.
.avif)
Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.
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.
We hired 20 team members who share our core values: great attitude and desire to learn, resourcefulness, and adaptability. Near’s team was very responsive, and their easy-going communication fostered a seamless hiring process.
It was our first global hire, and it was a success. Near's team guided us at every step. They connected us with highly-qualified candidates, supported us throughout the whole process, and we made a hire in under three weeks.
Near helped ensure we were selecting the right people for our team. The ability to interview multiple candidates and watch video recordings of the interviews before making a decision was a very strong point for Near.
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.
We hired 20 team members who share our core values: great attitude and desire to learn, resourcefulness, and adaptability. Near’s team was very responsive, and their easy-going communication fostered a seamless hiring process, helping us save $1.2M.
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.
.avif)
Other roles Near can help you fill
.avif)
Frequently Asked
Questions
How much does it cost to hire a Data Scientist?
How are Near's Data Scientists different?
Is it worth hiring a Data Scientist?
How do I hire a Data Scientist?
Where can I find top Data Scientist candidates?
What should I look for when hiring a Data Scientist?
.avif)
Discover Nearshore Hiring Benchmarks and Trends. Download the FREE Report Now.
