Data Scientist Engineer salary in Thailand

Average Yearly Salary of Data Scientist Engineer in Thailand is approximately 520,649 THB (12,940 USD). Data is for 2025 and indicates a pre-tax value. The salary itself depends on multiple factors such as seniority, job performance, certifications, experience or any other bonuses. The value indicated is an average amount based on records we have in database. Real values may vary. The data is for orientational purposes.

What does Data Scientist Engineer do?

A data scientist engineer is a professional who combines the skills of a data scientist and a software engineer. They are responsible for collecting, analyzing, and interpreting complex data sets to extract valuable insights and solve business problems. They possess a strong understanding of statistical analysis, machine learning algorithms, and programming languages such as Python, R, or SQL. Data scientist engineers work with large datasets, develop and implement data models, and create algorithms to uncover patterns and trends. They collaborate with cross-functional teams to identify business needs and design solutions that leverage data-driven decision making. Additionally, they are skilled in data visualization techniques to effectively communicate findings to stakeholders.

Skills: Data Scientist Engineer, Data Analysis, Machine Learning, Statistical Analysis, Software Engineering, Data Visualization
Job industry: Technology

How much does Data Scientist Engineer make?

Difference in salary year over year or average salary increase is approximately 4 %


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Salary comparison to National average

Is Data Scientist Engineer a well paid job?

Yes, our data shows that Data Scientist Engineer is a well paid job. With years and experience the salary might increase even further, resulting in higher satisfaction.

What is considered a high salary for Data Scientist Engineer?

High salary for Data Scientist Engineer would be somewhere between 572,714 THB and 754,941 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Data Scientist Engineer in Thailand?

Living in Thailand the approximate monthly expenses are: 289 USD. This amount covers basic needs such as food, housing, clothing, healthcare and education costs for a single person. No luxury expenses such as traveling, leisure, hobbies are included in the estimation.

Estimated Yearly Salary: 520,649 THB
Estimated Monthly Salary: 43,387 THB
Estimated Weekly Salary: 10,012 THB per week
Estimated Hourly Salary: 250 THB per hour
By working as Data Scientist Engineer a person can save up to 789 USD per month or 9,470 USD yearly. Values are pre-tax.

NOTE: These values are estimates and are averaged for the whole country. Furthermore the value is likely exaggerated as no other expenses are taken into account in the projection. Unessential expenses are very subjective and are difficult to assess. Most likely the previously estimated number is significantly lower for majority of people. Expenses in different cities across the country may vary. Above values accuracy is low and is based on limited set of data obtained.

For more information regarding expenses in Thailand, see costs of living in Thailand.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Myanmar, Laos, Cambodia, Malaysia.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Data Scientist Engineer

Last revision of data: 2025-01-04

Salary increase per years of experience

Based on data available the salary increase per years of experience is as following

0 years (beginner) equals base salary

1 to 5 years of experience yields +12% salary increase

6 to 10 years of experience yields +25% salary increase

11 to 15 years of experience yields +16% salary increase

16 to 25 years of experience yields +9% salary increase

more than 25 years of experience yields +10% salary increase

NOTE: Details based on limited set of data. Percentages may vary. The salary increase over years of experience can vary widely based on factors such as job industry, job role, location, company size, and individual performance. To gain even larger increase in salary one is advised to switch jobs and / or employer.

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Data as of 2025

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