Data Scientist Salary in Turkey: What You Need to Know
Data Scientists in Turkey earn an estimated $27,502 USD per year, which is approximately ₺893,815 TRY at current exchange rates. This places Turkey at #36 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 Turkey is 79% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for Data Scientists in Turkey.
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 Turkey is equivalent to $160,124 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 Turkey.
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 Turkey could buy approximately 8,137 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.
How Turkey Compares Globally
Among the 42 countries we track, a Data Scientist in Turkey earns more than 17% 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.