Data Scientist Salary in Korea, Rep.

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Scientist Earn in Korea, Rep.?

Expect a spread rather than a single number: the 25th percentile sits at ₩139,000,000, the median at ₩165,000,000, and the 75th percentile at ₩200,000,000. Employers at the top of the range are typically larger firms and specialized practices. Remote work is a real factor here — with 80% of these roles workable from anywhere, some Korea, Rep.-based professionals earn from foreign employers at rates well above the local median.

Korea, Rep. vs the World

At current exchange rates, Korea, Rep.'s median works out to $106,872, compared with $125,000 in the United States for the same job. The highest-paying countries we track for this role are Singapore ($206,571), Ireland ($188,496), Qatar ($180,769). Keep in mind that higher-paying markets usually pair with higher living costs, so net purchasing power gaps are smaller than the headline numbers.

Salary Growth by Experience

A newcomer to the field in Korea, Rep. typically starts around ₩112,000,000. By mid-career the median reaches ₩165,000,000, and senior professionals command ₩228,000,000 or more — roughly 2.0x the entry-level figure. The steepest percentage gains usually come in the first five to eight years; after that, moving into leadership, changing employers strategically, or specializing tends to matter more than tenure alone.

Job Market Outlook for Data Scientists

Demand for data scientists in Korea, Rep. is exceptionally strong, scoring 89/100 on our demand index. About 80% of positions in this field can be performed remotely or in hybrid arrangements, which widens the effective job market for candidates in Korea, Rep. beyond national borders. For job seekers this tilts negotiating leverage toward candidates: multiple offers are realistic, and counter-offers are common.

What Inflation Does to Your Salary

Inflation in Korea, Rep. is a modest 2.1%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 2.1% represent genuine real-terms gains.

Required Skills and Education

The standard entry route is master's degree in a quantitative field (often preferred). Day to day, the skills that consistently correlate with higher pay in this field are python, statistics, machine learning — and, at senior levels, sql and data visualization. In interviews, evidence beats credentials: portfolios, measurable outcomes, and references matter more to the final offer than the certificate list.

Where This Role Can Lead

Skills from this role transfer well into adjacent positions such as Data Analyst, Machine Learning Engineer, Data Engineer. Lateral moves like these are one of the most reliable ways to accelerate pay growth in Korea, Rep. — particularly moves toward roles with higher demand scores or greater remote flexibility.