Companies worldwide are looking for skilled data scientists who can extract meaningful insights from complex datasets.
However, hiring data scientists in the U.S. is expensive and highly competitive. Many companies are now turning to Latin America as a leading destination for hiring cost-effective, high-quality data science talent with strong technical expertise and time zone compatibility.
This guide explores the benefits of hiring data scientists in Latin America and provides a roadmap to building a world-class data science team.
Latin America has a growing community of data professionals with expertise in:
Companies can save 40-60% on salaries by hiring data scientists in Latin America compared to U.S. rates, making it an attractive option for businesses looking to scale their analytics capabilities.
Countries such as Brazil, Mexico, Argentina, and Colombia operate in time zones that align with U.S. business hours, ensuring seamless collaboration and agile workflows.
Many data scientists in Latin America speak fluent English and have experience working with North American and European companies, ensuring smooth communication.
Determine whether you need expertise in machine learning, predictive analytics, data engineering, or AI-driven solutions before hiring.
Platforms like Revelo help companies find pre-screened, experienced data scientists with verified expertise in relevant technologies.
Beyond coding skills, ensure candidates can translate data into actionable insights for business decision-making.
Evaluate candidates with practical tests involving data cleaning, feature engineering, and predictive modeling.
Hire professionals with expertise in healthcare, finance, retail, or SaaS to reduce onboarding time and increase impact.
Provide access to data infrastructure, tools, and documentation to quickly integrate new hires into existing projects.
The global data science market is expected to reach $230 billion by 2026, driving demand for skilled data scientists.
Python is used by 85% of data scientists worldwide, making it the most dominant programming language in data science.
Companies hiring data scientists in Latin America save an average of 45% on salaries compared to U.S.-based professionals.
A Revelo não é um banco, mas nosso sistema de transferência de pagamentos funciona por meio de contratos entre empresas e contratantes. Graças às nossas parcerias com terceiros, conseguimos oferecer taxas de transferência muito abaixo do mercado. Além disso, nosso modelo de negócios diversificado nos dá uma vantagem competitiva única. Aproveite essa oportunidade para economizar e receba seus pagamentos de forma eficiente com a Revelo!
Latin America offers high-quality, cost-effective talent with strong technical expertise and time zone alignment for North American companies.
Companies typically save 40-60% on hiring costs compared to U.S. salaries while still accessing top-tier professionals.
Data scientists are in high demand for finance, healthcare, retail, SaaS, and manufacturing.
Many professionals in the region are fluent in English and experienced in working with global teams.
Use technical interviews, coding challenges, and real-world case studies to evaluate candidates effectively.
Hiring data scientists in Latin America provides businesses with cost-effective, high-quality analytics talent that enables data-driven decision-making. By leveraging pre-vetted professionals and best hiring practices, companies can build a world-class data science team.
Contact Revelo today to access pre-vetted talent and scale your data analytics capabilities!