Senior Data Scientist salary in Brazil

Average Yearly Salary of Senior Data Scientist in Brazil is approximately 123,564 BRL (20,573 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 Senior Data Scientist do?

A senior data scientist is a highly skilled professional responsible for analyzing complex data sets to uncover patterns, trends, and insights that drive business decisions. They design and implement statistical models, machine learning algorithms, and data mining techniques to extract valuable information from large datasets. Senior data scientists also collaborate with cross-functional teams to identify business problems, develop data-driven solutions, and communicate findings to stakeholders in a clear and concise manner. They possess strong programming skills, proficiency in data manipulation and visualization tools, and expertise in statistical analysis and predictive modeling.

Skills: senior data scientist, data analysis, machine learning, statistical modeling, data mining, predictive analytics
Job industry: Technology

How much does Senior 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 Senior Data Scientist a well paid job?

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

What is considered a high salary for Senior Data Scientist?

High salary for Senior Data Scientist would be somewhere between 135,920 BRL and 179,168 BRL. However this is an estimation based on Gaussian Distribution.

How much can you save working as Senior Data Scientist in Brazil?

Living in Brazil the approximate monthly expenses are: 326 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: 123,564 BRL
Estimated Monthly Salary: 10,297 BRL
Estimated Weekly Salary: 2,376 BRL per week
Estimated Hourly Salary: 59 BRL per hour
By working as Senior Data Scientist a person can save up to 1,389 USD per month or 16,666 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 Brazil, see costs of living in Brazil.

Salary comparison to region and neighbouring coutries

Country's neighbours are: Argentina, Bolivia, Colombia, Guyana, Paraguay, Peru, Suriname, Uruguay, Venezuela.
To make it easier for comparison a conversion from local currency to USD has been made (conversion rates may vary).

Estimated Yearly Salary for Senior 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.

Top 10 highest salaries in Brazil

Data as of 2025

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