Data Scientist Salary in Austria

Data Scientist Salary Table

Salary by Experience

Tax & Cost of Living

Demand Outlook

How Much Does a Data Scientist Earn in Austria?

Expect a spread rather than a single number: the 25th percentile sits at €90,100, the median at €107,000, and the 75th percentile at €130,000. 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 Austria-based professionals earn from foreign employers at rates well above the local median.

How Austria Compares Globally

Converted to US dollars, the median data scientist salary in Austria is $122,237 — 98% 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). 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 Austria typically starts around €72,900. By mid-career the median reaches €107,000, and senior professionals command €148,000 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 Austria is among the strongest of any profession, scoring 91/100 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 Austria 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 Austria is a modest 3.5%, so nominal salary figures translate fairly directly into stable purchasing power. Raises above 3.5% represent genuine real-terms gains.

What It Takes to Become a Data Scientist

Most employers expect 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.

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.