Data Scientist Salary in Israel: What You Need to Know
Data Scientists in Israel earn an estimated $63,372 USD per year, which is approximately ₪234,476 ILS at current exchange rates. This places Israel at #21 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 Israel is 51% lower. This difference reflects variations in local economies, cost of living, labor market conditions, and industry demand for Data Scientists in Israel.
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 Israel is equivalent to $87,156 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 Israel.
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 Israel could buy approximately 13,040 Big Macs per year. This everyday comparison helps illustrate the real-world purchasing power of this salary beyond abstract currency conversions.
How Israel Compares Globally
Among the 42 countries we track, a Data Scientist in Israel earns more than 52% 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.