Data Scientist Salary in Lithuania: What You Need to Know
Data Scientists in Lithuania earn an estimated $41,158 USD per year, which is approximately €37,865 EUR at current exchange rates. This places Lithuania at #30 out of 42 countries in our global salary ranking for this occupation.
Compared to the United States, where Data Scientists earn an estimated $130,000 USD per year, the salary in Lithuania is 68% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for Data Scientists in Lithuania.
Purchasing Power and Cost of Living
While nominal salary figures provide a useful starting point, they don't tell the full story. When adjusted for purchasing power parity (PPP), the salary for a Data Scientist in Lithuania is equivalent to $118,730 USD. This means that after accounting for differences in the cost of goods and services, the real buying power of this salary is actually higher than the nominal figure suggests, indicating a relatively lower cost of living in Lithuania.
To put this in more tangible terms, using The Economist's Big Mac Index as an informal measure of purchasing power, a Data Scientist's annual salary in Lithuania could buy approximately 8,315 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.
How Lithuania Compares Globally
Among the 42 countries we track, a Data Scientist in Lithuania earns more than 31% of Data Scientists worldwide. The highest-paying country for this role is United States at $107,900 USD, while the lowest is India at $11,986 USD.
These estimates are derived from publicly available data from the U.S. Bureau of Labor Statistics (BLS), OECD average wages, World Bank purchasing power parity factors, and The Economist's Big Mac Index. The salary for each country is calculated by adjusting the U.S. baseline salary using country-specific wage ratios and sector multipliers. While these figures provide a useful benchmark, actual salaries can vary significantly based on experience level, company size, specific city or region, education, and industry sector.