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There is a wealth of Data Scientist talent in LatAm.
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.
Near candidates are skillful professionals with excellent English proficiency and impressive work experience.
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Has 1-2 years of experience. Assists in data analysis, learns about machine learning techniques, and gains proficiency in data manipulation.
Has 3-5 years of experience. Conducts advanced data analysis, develops predictive models, and collaborates with cross-functional teams.
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
Data Scientist
from
Nicaragua
Business Intelligence Analyst
from
Mexico
Senior Data Engineer
from
Perú
Head of Data and Analytics
from
Chile
Airtable Specialist
from
Bolivia
Mid Level Data Engineer
from
Brazil
Data Scientist
from
Mexico
Data Scientist
from
Brazil
Data Engineering Manager
from
Brazil
Data Manager
from
Brazil
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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.
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.
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Zero-risk hiring. If you don't make a hire, you don't pay anything.
Top Talent, Transparent Compensation
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
3.0
k
/
Monthly
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
3.5
k
/
Monthly
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
4.0
k
/
Monthly
What Leading Enterprises Say About Near
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.
Near helped us double the size of our sales force in four months. We hired top talent, injecting fresh energy and expertise into our team, Near's team was very responsive and knowledgeable.
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.
The time savings and quality of candidates have been outstanding. Communication was also seamless, making it easy to work with Near.
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Near takes care of the entire hiring process for us. All we have to do is interview the best 3 candidates and decide.
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.
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.
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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.
Partnering with Near saved us $43k annually in overhead costs and reduced our hiring timeline by up to three months.
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.
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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