Data Scientist salary in Ecuador

The average data scientist salary in Ecuador in 2026 is USD 29,200 per year (USD 2,433 per month, or USD 562 per week). This figure represents gross annual earnings before income tax and social contributions. Source: INEC encuesta laboral 2026 (USD economy).

Data Scientists in Ecuador earn between USD 19,000 and USD 42,300 per year in 2026. The spread reflects differences in experience level, employer size, sector (public vs private), and geographic location within the country.

A data scientist in Ecuador earns approximately USD 2,433 per month (gross) in 2026, based on an annual average of USD 29,200. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Ecuador.

Entry-level data scientists in Ecuador typically earn between USD 19,000 and USD 24,800 per year in 2026. Salaries at the junior level are generally 15–35% below the national average, increasing with professional certifications, years of experience, and specialisation.

Yes. Based on available data, Data Scientist salaries in Ecuador have grown by approximately 18% between 2022 and 2026, reflecting ongoing demand and wage growth trends.

Among Americas countries in our dataset, United States offers the highest average data scientist salary at USD 97,300 per year in 2026. Ecuador ranks 2 in the region with USD 29,200/yr.

Whether USD 29,200 per year is a good data scientist salary in Ecuador depends on cost of living, location, and career stage. This figure represents the 2026 national average — earners above this level are in the upper half of the pay distribution for this occupation. Factors that influence individual compensation include employer type (multinational vs. local), city (capital cities typically pay 10–25% more), qualifications, and years of experience.

Ecuador's data scientist salary of USD 29,200/yr is below all other Americas countries tracked for this occupation in 2026. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.