Data Scientist salary in Argentina

The average data scientist salary in Argentina in 2022 is ARS 20,170,100 per year (ARS 1,680,842 per month, or ARS 387,887 per week). This figure represents gross annual earnings before income tax and social contributions. Source: ILO / Life Indexed estimate.

Data Scientists in Argentina earn between ARS 13,110,600 and ARS 29,246,600 per year in 2022. The spread reflects differences in experience level, employer size, sector (public vs private), and geographic location within the country.

A data scientist in Argentina earns approximately ARS 1,680,842 per month (gross) in 2022, based on an annual average of ARS 20,170,100. Monthly take-home pay will be lower after income tax and social security deductions, which vary by individual circumstances and applicable tax brackets in Argentina.

Entry-level data scientists in Argentina typically earn between ARS 13,110,600 and ARS 17,144,600 per year in 2022. 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 Argentina have grown by approximately 41% between 2022 and 2026, reflecting ongoing demand and wage growth trends.

Whether ARS 20,170,100 per year is a good data scientist salary in Argentina depends on cost of living, location, and career stage. This figure represents the 2022 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.

Argentina's data scientist salary of ARS 20,170,100/yr (among comparable economies) is higher than 6 countries and lower than 2 countries in the Americas region as of 2022. Differences across countries reflect purchasing power, labour market conditions, cost of living, and local demand for this role.