Top 7 LATAM Cities for Hiring Remote Data Scientists in

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LATAM has quietly become one of the world’s strongest regions for data science and analytics talent.

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As global startups seek technical excellence, time zone alignment, and cost efficiency, cities across Latin America have stepped into the spotlight producing thousands of highly skilled Data Scientists ready to work with North American companies.

Here are the seven best LATAM cities to hire Data Scientists in 2025, based on education, English fluency, technical ecosystem, and hiring accessibility.

1. Mexico City, Mexico

Mexico City leads the region in data science talent density.
Home to top universities like UNAM and ITAM, it produces professionals fluent in Python, R, and data engineering.
With bilingual communication skills and a strong analytics startup scene, Mexico City is ideal for US companies looking for rapid, same-time-zone collaboration.

Average Salary: $48,000 USD/year
Time Zone: Central (CST/CDT) — perfect overlap with US hours.

Internal link: Learn how to hire efficiently in Hire Remote Data Scientists from LATAM → /hire-data-scientist-latam/

2. Bogotá, Colombia

Bogotá is fast emerging as a LATAM analytics powerhouse.
Supported by a strong STEM education base and vibrant tech ecosystem, Colombian Data Scientists are known for precision, strong business acumen, and reliability.

Average Salary: $46,000 USD/year
Specializations: Predictive modeling, BI, and fintech analytics.
Time Zone: Eastern (EST) ideal for East Coast startups.

Internal link: Understand how nearshoring works in How Nearshore Data Science Teams Are Powering US Startups → /nearshore-data-science-teams-latam/

3. São Paulo, Brazil

Brazil’s largest tech hub, São Paulo, offers a deep pool of data and AI professionals.
The city’s mix of enterprise data engineers and AI researchers makes it perfect for startups seeking scalable talent with advanced technical depth.

Average Salary: $50,000 USD/year
Languages: Portuguese (native), English (professional).
Time Zone: GMT-3 1–3 hours ahead of most US regions.

4. Buenos Aires, Argentina

Argentina consistently ranks among the top LATAM countries for English fluency and data analytics education.
Buenos Aires professionals combine creative problem-solving with technical rigor ideal for startups needing innovative approaches to data.

Average Salary: $47,000 USD/year
Specializations: Machine learning, NLP, and business intelligence.
Time Zone: GMT-3 overlaps with US morning to early afternoon.

Internal link: Learn more about LATAM’s talent ecosystem in Why LATAM Is Becoming the Next Global Data Science Hub → /why-latam-global-data-hub/

5. Santiago, Chile

Chile has quietly become one of LATAM’s most advanced data economies, known for analytics talent in energy, fintech, and logistics sectors.
With strong government investment in digital infrastructure, Santiago offers a steady flow of bilingual, highly trained professionals.

Average Salary: $49,000 USD/year
Specializations: Forecasting, econometrics, and process optimization.
Time Zone: GMT-3 / GMT-4 compatible with US working hours.

6. Lima, Peru

Peru’s emerging data science market is known for professionals with hybrid skills part analyst, part engineer.
Lima-based Data Scientists often hold dual degrees in mathematics and business, making them uniquely capable of aligning insights with strategy.

Average Salary: $43,000 USD/year
Specializations: BI dashboards, retail analytics, and predictive modeling.
Time Zone: GMT-5 aligned with Eastern Standard Time.

7. Montevideo, Uruguay

Montevideo’s tech ecosystem is small but sophisticated, with high English proficiency and a growing community of AI engineers.
Its professionals are highly sought after for remote collaboration due to reliability, work ethic, and stable internet infrastructure.

Average Salary: $45,000 USD/year
Specializations: AI model optimization, ML ops, and data architecture.
Time Zone: GMT-3 — works seamlessly with US mornings and early afternoons.

🚀 Book a Free Discovery Call to Hire Your Next Data Scientist.
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Why GEO Diversity Matters in Data Science Hiring

By diversifying across LATAM regions, startups gain:
• Access to multi-industry expertise — fintech, healthtech, retail, and SaaS.
• Flexibility in salary bands and role seniority.
• Continuity and resilience through distributed team structures.

This regional diversity ensures data coverage around the clock, strong business understanding, and long-term scalability.

Internal link: Learn how to design a distributed analytics model in Building a Scalable Data Team Across Borders → /build-scalable-data-team-latam/

💼 Hire Pre-Vetted Data Scientists from LATAM Today.
👉 Simera.io

FAQs

Which country has the largest pool of Data Scientists in LATAM?
Mexico leads in volume, while Argentina and Colombia rank highest in technical education and English fluency.

Are LATAM Data Scientists bilingual?
Yes — many are fluent in English and work daily with US clients.

How much do Data Scientists in LATAM earn?
Between $43,000 and $52,000 per year, depending on city and specialization.

Can I hire a full team across multiple LATAM countries?
Absolutely. Platforms like Simera allow distributed hiring across regions under one management framework.

Do time zones match US business hours?
Yes. Most LATAM cities operate within 1–3 hours of US Eastern and Central Time.