Salary of a Data Science Manager in Argentina
How much does a Data Science Manager earn in Argentina?
Salary summary for Data Science Manager in Argentina
The median salary for Data Science Manager in Argentina in 2025 is ARS 5,333,328.
The salary range for Data Science Manager in Argentina in 2025 goes from ARS 5,333,328 to ARS 5,333,328. These values correspond to the 25th percentile (minimum) and the 75th percentile (maximum), which means that 50% of salaries are within this range. This way, you can know which are the most common salaries and have a clear reference of current salary opportunities in the Argentina job market.
Why is the salary range important and how to interpret it?
The median salary is a key indicator in salary analysis, as it represents the central value of all salaries collected in the job market in Argentina for the position of Data Science Manager. That is, 50% of professionals earn less than this figure and the other 50% earn more. Using the median, instead of the average, avoids distortions caused by extremely high or low salaries, offering a more accurate and realistic view of the typical salary in Argentina. Discover here the median salary, salary ranges, and how your compensation compares to the market.
Do you want to compare your salary or wage with other professionals in Argentina? Explore more salary analysis, labor market trends, job opportunities, and discover how to improve your compensation in the Data Science Manager sector.
Most common education level for Data Science Manager in Argentina: requirements and trends
Where can a Data Science Manager get the best salary?
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Professional profile and main duties of Data Science Manager in Argentina | Job description & responsibilities
What does a Data Science Manager do in Argentina? Learn about the main duties, typical tasks, and the impact of this role within the company.
Leads data science teams, overseeing data-driven projects and analytics initiatives.
Main responsibilities and tasks of a Data Science Manager
- Oversee data science projects and strategy.
- Manage and mentor data scientists and analysts.
- Develop predictive models and machine learning algorithms.
- Collaborate with business teams to Apply data insights.
- Ensure ethical and secure data handling.