Data Scientist Salary in Viet Nam

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Scientist Earn in Viet Nam?

Expect a spread rather than a single number: the 25th percentile sits at ₫950,000,000, the median at ₫1,150,000,000, and the 75th percentile at ₫1,410,000,000. 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 Viet Nam-based professionals earn from foreign employers at rates well above the local median.

How Viet Nam Compares Globally

Converted to US dollars, the median data scientist salary in Viet Nam is $43,880 — 35% of what the same role pays in the United States ($125,000). The highest-paying countries we track for this role are Singapore ($206,571), Ireland ($188,496), Qatar ($180,769). Raw exchange-rate comparisons undersell local earnings, though: costs for housing, food, and services in Viet Nam are proportionally lower, so the lifestyle a median salary buys is better than the USD figure implies.

From Entry Level to Senior: What Changes

Experience pays in this field: entry-level roles average ₫782,000,000, mid-career professionals earn a median of ₫1,150,000,000, and senior specialists reach ₫1,590,000,000+. That is a 2.0x span from first job to senior level. In Viet Nam, the biggest single jumps typically come from switching employers rather than internal raises — a pattern consistent across most markets we track.

Demand for Data Scientists in Viet Nam

Demand for data scientists in Viet Nam is very high, scoring 83/100 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 Viet Nam 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 Viet Nam is a modest 3.3%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 3.3% 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. Candidates who can demonstrate these with concrete work examples routinely land in the upper half of the salary range.

Adjacent Careers and Pivots

Data Scientists commonly pivot into roles like Data Analyst, Machine Learning Engineer, Data Engineer, either to specialize or to chase stronger demand. If pay growth in your current track stalls, comparing medians across these adjacent roles is a good first step.