Associate Data Scientist salary in Thailand

Average Yearly Salary of Associate Data Scientist in Thailand is approximately 461,684 THB (11,528 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 Associate Data Scientist do?

An associate data scientist is a professional who assists and supports data scientists in analyzing and interpreting complex data sets to derive meaningful insights. They work closely with the data science team to collect, clean, and organize data, as well as develop and implement machine learning models and algorithms. Associate data scientists also assist in developing data visualizations and reports to communicate findings to stakeholders. Their responsibilities may include data preprocessing, feature engineering, model evaluation, and optimization. They need to have strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of statistical analysis and machine learning techniques. Attention to detail, problem-solving abilities, and effective communication skills are essential for this role.

Skills: Associate Data Scientist, Data Analysis, Machine Learning, Statistical Analysis, Programming, Data Visualization
Job industry: Technology

How much does Associate Data Scientist make?

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


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Salary comparison to National average

Is Associate Data Scientist a well paid job?

Yes, our data shows that Associate Data Scientist 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 Associate Data Scientist?

High salary for Associate Data Scientist would be somewhere between 507,852 THB and 669,442 THB. However this is an estimation based on Gaussian Distribution.

How much can you save working as Associate Data Scientist 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: 461,684 THB
Estimated Monthly Salary: 38,474 THB
Estimated Weekly Salary: 8,879 THB per week
Estimated Hourly Salary: 222 THB per hour
By working as Associate Data Scientist a person can save up to 671 USD per month or 8,058 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 Associate Data Scientist

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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