Hire remote LatAm Data Scientists and reduce overhead by up to 50%

Near can help startups and larger companies find, interview, and hire great pre-vetted Data Scientist talent from Latin America in 21 days or less.

Trusted by great businesses like:
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Trusted by great businesses like:
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper
HotjarExpensifyChili Piper

There is a wealth of Data Scientist talent in LatAm.

Tap into our pool of 35k+ candidates to hire top-tier Data Scientist quickly and cost-effectively. Near enables startups and mid-market enterprises to reduce hiring expenses and drive innovation without compromising on talent. Assemble a high-performing team and outpace competitors, all while staying budget-conscious.

Near can help you

Save 30-70% on salaries. We offer lower-cost, motivated candidates.

Hire quickly — 10x Faster. Typically you can hire in under 21 days.

Find the best teammates for you. Data experts. Robust analytics & machine learning experience.

Save time with pre-vetted candidates. English speaking. Skilled with infrastructure, processing & modeling.

Experience

Near candidates are skillful professionals with excellent English proficiency and impressive work experience.

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Junior Data Scientist

Has 1-2 years of experience. Assists in data analysis, learns about machine learning techniques, and gains proficiency in data manipulation.

Mid-level Data Scientist

Has 3-5 years of experience. Conducts advanced data analysis, develops predictive models, and collaborates with cross-functional teams.

Senior Data Scientist

Has 5 years of experience or more. Possesses deep expertise in data science, contributes to strategy development, and leads data-driven projects.

Manager/Director of Data Science

Has 7+ years of experience in management roles. Oversees data science projects, manages data science teams, and provides strategic direction for leveraging data insights for business growth.

See a few of our 35k pre-vetted candidates

Luis S.
Luis S.

Data Scientist

from 

Nicaragua

Entry Level
ETL Softwares
Data Reporting
Data Scientist
Matias C.
Matias C.

Senior Data Analyst

from 

Argentina

Mid Level
MS Excel
Andy Q.
Andy Q.

Senior Data Engineer

from 

Perú

Mid Level
GCP
Scala
Data Engineer
Justo S.
Justo S.

Head of Data and Analytics

from 

Chile

VP
PowerBI
Lucas R.
Lucas R.

Python Programmer

from 

Colombia

Associate
Management
Manuel P.
Manuel P.

Business Intelligence Analyst

from 

Mexico

Associate
PowerBI
MS Excel
Tableau
Pandas
Marilina V.
Marilina V.

Data Scientist

from 

Mexico

Mid Level
Data Lakes
Data Management
Data Scientist
Belen G.
Belen G.

Airtable Specialist

from 

Bolivia

Associate
Email Marketing
Airtable
Klaviyo
Zapier
Milagros H.
Milagros H.

Junior Data Analyst

from 

Argentina

Entry Level
Tableau
Statistical Data Analysis
Data Visualization
Ana G.
Ana G.

Python Programmer

from 

Brazil

Mid Level
Python
SQL
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Why LatAm?

US Time Zones

Hire teammates, not offshore resources. Near candidates work in US time zones, helping improve collaboration.

Strong English

Access candidates with certified English proficiency. Plus we screen the best talent for your roles, helping you save time.

Seamless Work Culture

Our proven hiring process ensures you get candidates who are a strong cultural and professional fit, helping increase retention.

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.

How Near's Proven Hiring Process Works

Discovery Session

We delve into your hiring goals, whether it's building a nearshore team, high-volume hiring, executive search, etc. Together, we outline role requirements, discuss talent markets, and compensation ranges.

Kick-Off Call

Meet your dedicated recruiter to fine-tune the candidate profile and create an effective hiring journey. We focus on a streamlined process to secure top talent that meets your objectives.

Interviews and Hiring

Within just 3 days, receive profiles of handpicked candidates. Conduct interviews to find the best fit. Given our pool of high-quality candidates, your toughest decision will be choosing who to hire.

21 Days to Fill Open Positions

After You Hire

Onboard, pay, retain

We support you through the onboarding process and advise on strategies to pay and retain your top remote talent, setting up both you and your new hire for success.

Ongoing support & team expansion

Get continuous support after you make a hire. As your business grows, we're ready to assist with team expansion, including high-volume hiring, executive search, and more.

Interview for Free

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

All in cost, simple monthly fee

Jr. Data Scientist

  • Degree in Computer Science or similar
  • 1+ years of experience
  • Strong understanding of statistical Inference, predictive analytics testing and evaluation
  • Experience with modeling in Python or R

Sr. Data Scientist

  • Advanced Degree in Computer Science or similar
  • 6+ years of experience
  • Strong experience with different Machine Learning and Deep Learning models
  • Proficient experience with Python or R, SQL, cloud-based computing platforms, and big data tools such as Spark or Hadoop

Data Scientist

  • Degree in Computer Science or similar
  • 4+ years of experience
  • Experience with different Machine Learning and Deep Learning models
  • Experience with Python or R, SQL, and cloud-based computing platforms

What Leading Enterprises Say About Near

Conor Chamness

Conor Chamness

Head of M&A

Dura Software

"

Near was a low-risk, high ROI way to source finance talent. In under two weeks, we hired a Corporate Development Analyst with an MBA and managed to hit our acquisition goal for the year.

"
Carmen Lopez

Carmen Lopez

Recruiter

Tribu

"

The experience was nothing short of exceptional. From start to finish, the entire process was remarkably smooth, and the team at Near played a pivotal role in making our hiring journey a success.

"
Joshua Thompson

Joshua Thompson

Partner and COO

Kordis

"

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.

"
Inge Beintrexler

Inge Beintrexler

VP of People

Percent

"

We were pleasantly surprised with all the candidates we interviewed, especially about how well-rounded they were and how much experience they had. We were blown away by the talent that existed that we just kind of weren't aware of.

"
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.

"
John Kennedy

John Kennedy

Founder / CEO

Mesa Cloud

"

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.

"
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.

"
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.

"
Seema Chacko

Seema Chacko

CFO

CyberFortress

"

We hired 12 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.

"
Kimberly Gonzalez

Kimberly Gonzalez

Operations Manager

Vanreusel Ventures

"

Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.

"
Frequently asked questions

What experience do your Data Scientists candidates have?

Near Data Scientist candidates have extensive experience in various industries, including fintech, e-commerce, finance, and technology. They've worked at companies of all sizes, from Startups to Fortune 500 companies.

Do Near's Data Scientist candidates have experience working in English?

Yes, Near Data Scientist candidates have extensive experience speaking English at work. The majority of candidates have multiple years of experience working alongside and within US-based companies.

How do I know I can trust your candidates?

Resumes can lie! We pre-vet and screen all of our candidates for English proficiency, skills, and work experience. We conduct reference calls and international criminal background checks. We’ll do our best to find a teammate you can stay with for the long term.

How does your pricing work?

We charge a monthly fee per hire which changes slightly dependent on the role. We can provide an exact quote once we have requirements for the role you're looking to fill. You don't pay us anything unless you make a hire.

What roles can I hire for?

We specialize in the following categories: Finance & Accounting, Marketing, Customer Support & VAs, Sales, and Software Engineering. We've successfully placed candidates ranging from Virtual Assistants and PhD Data Scientists in under 3 weeks. We only help hire LatAm talent. It's our specialty and we do it well.

How do I pay candidates?

You can pay through us, use an in-house solution, or we can connect you with one of our global hiring partners.

Do I need to sponsor candidates / issue a work Visa to hire in LatAm?

You don't. Candidates are not US-based and therefore don't need a visa/sponsorship to work.

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