Top Data Science Jobs in Latin America

24-May-2022

The scope of Data Science jobs is constantly expanding with diversified roles across the various industries. This is further prompted by businesses across the world taking cognizance of the importance of data and how powerful leveraging of data has proven to be. 

If you are enthused by the challenging and rewarding career prospects of data science and wondering about the high-paying data science jobs, read on. This post will take you through the top data science jobs in Latin America.

Top Data Science Jobs in Latin America

Data Analyst

A data analyst's day-to-day responsibilities include data visualization, data manipulation, processing large volumes of data, and occasionally running queries on databases. Because data analysts must construct a lot of prediction models and machine learning algorithms, optimization is another important ability to have.

A Data Analyst's responsibilities include:

• Data extraction from a variety of sources- primary and secondary using automated technologies

• Forecasting and data analysis

• Database creation and maintenance

• Processing of Data, both structured and unstructured 

• Data cleaning, integration, and storage

• Create and deploy data collection and database systems.

Data Engineers

The data analytics team relies heavily on data engineers. They are in charge of maintaining, monitoring, optimizing, and overseeing data and data ecosystems. They provide scalable Big Data environments so that data scientists can work on robust, well-optimized systems.

A Data Engineer's responsibilities include:

• Research both primary and secondary sources.

• Data supervision, monitoring, management, and optimization

• Create and administer data management systems.

• Develop data collection procedures.

• For spotting patterns or forecasting trends, use algorithms, machine learning, and statistical methods.

• Report findings to all parties involved.

Data Scientist

A Data Scientist is a person who serves as a link between data processes and business problems. A data scientist's ultimate purpose is to comprehend and solve business challenges utilizing the most effective procedures, methods, algorithms, and systems.

A Data Scientist's responsibilities include:

• Collect and analyze huge amounts of organized and unstructured data, as well as the sources of that data

• Improve processes using data science techniques and tools.

• Use a variety of tools and strategies to visualize data.

• From data collecting to data presentation, create end-to-end solutions.

• To address difficulties and create solutions, collaborate, and work with multiple business teams.

Data Architect 

A data architect is a person who develops the organization's data strategy plan, which includes blueprints for data management, data quality standards, and data security. They're also in charge of making sure the data engineers have the best tools and systems to work with.

A Data Architect's responsibilities include:

• Data strategy development and implementation, including data model designs, database development standards, data analytics management, and data warehouse technologies.

• Identification of data sources

• End-to-end data architecture planning, execution, and management

• Database and architecture maintenance

• Collaborate with cross-functional teams to ensure that database systems run smoothly.

• Regularly audit data management systems

• Accessibility, security, and accuracy of data

Manager of Data and Analytics

A Data Analytics Manager's primary role is to guarantee seamless operations across data science teams and to provide direction to data analysts. They help to create the team, make hiring decisions, and assign analysts to tasks that are appropriate for their skill sets.

A Data and Analytics Manager's responsibilities include:

• Create strategies for data analysis.

• Build tools and processes to translate raw data into useful insights with your team.

• Oversee the entire data analytics team's operations.

• Manage and lead a group of data analysts.

• Keep up with industry news and trends.

Those are the high-paying data science jobs that interested individuals can pursue in Latin America. To help you have a bigger picture of the data science jobs landscape in Latin America, let us explore the data science jobs salaries in different Latin American countries.

Data Scientists' Salaries in Latin America

Argentina

There are numerous companies in Argentina that employ Data Scientists. United Virtualities,  IncluIT, Process Technologies, and Extendo are just a few of the most well-known. The average income of a Data Scientist in Argentina is ARS$ 125,000 per year, according to Glassdoor.com. According to Payscale, the average annual income of a Data Scientist in Argentina is ARS$ 860,000. There may be, however, variance in the income that is based on different skills.

Brazil

According to Glassdoor, the average income for a Data Scientist in Brazil is R$ 98,000 per year. According to Payscale, the average compensation for a Data Scientist in Brazil is R$ 76,154. The average income of a Data Scientist in Brazil is R$ 91,310, according to Indeed.com.

Bolivia

According to Salaryexplorer data, the monthly pay of a Data Scientist in Bolivia is 13,900 BOB. According to Glassdoor, the average monthly income for a Data Scientist in Bolivia is 106,150 BOB. According to Indeed, the average income for a Data Scientist is 84,435 BOB per year.

Colombia

According to Salary Explorer, a Data Scientist in Colombia earns an average monthly salary of 7,820,000 COP. According to studies, the bulk of data science experts earn 11,800,000 COP every year. According to Glassdoor, the average Data Scientist income in Columbia is 88,631 COP per year.

Chile

The average income of a Data Scientist in Chile is CLP$ 34,000 per year, according to Payscale. According to Pay Explorer data, the average annual salary is 1,640,000 CLP.

Ecuador

The average income of a Data Scientist in Ecuador is $ 1,200 per month, according to Glassdoor.com. The information is current as of January 2021. The average income of a Data Scientist in Ecuador, according to Salary Expert, is $ 37,578.

In the coming years, data science will open up new opportunities. It has the potential to change the global job market. Brush up on your Data Science skills and land high-paying data science jobs.

Related Blog Posts:

1. Top Data Science Jobs in India
2. History of Cyber Security - An Introduction
3. Free Data Science Courses Online
4. What Qualifications are Required for the Position of a Data Analyst?
5. What are the Pros and Cons of Data Science?

data science jobs high paying data science jobs