Data Science is a multi-disciplinary field where several disciplines like Statistics, Machine Learning, Data Analysis, Computer Science, and other related fields are combined together. Accordingly, there are diverse sets of job roles in the data science industry today. The roles are evolving as per the organization’s demands as they emphasize different skills over others. To mention a few, they are data engineers, business analysts, machine learning engineers, big data engineers, statisticians, database administrators, data scientists, and more.
Let’s have a quick rundown on five exciting data science professionals’ roles here.
They design, build and manage big data infrastructure. They ensure that the data ecosystem of the organization is running smoothly so that data scientists can carry on with their analysis work anytime without interruption.
An entry-level data engineer earns an average salary of $77,487. An expert in the field can expect $114,619.
The Database administrators (DBA) handle extremely sensitive data. They ensure the creation, availability, storage, protection, and retrieval of data as required.
An entry-level DBA can expect an average salary of $70,637, whereas an expert earns an average of $94,500.
They are more generalists and play varied roles. They are involved in acquiring humongous data, processing, summarizing, and reporting them.
The average salary for a data analyst is $84,955
They must be an expert in using algorithms, wrangling codes and churn datasets.
The average salary ranges between $97,070 to $179,010.
The statistician is responsible to collect, organize, present, analyse, and interpret data for making informed decisions.
The average salary ranges from $69,869 to $106,096.
To summarize, the roles and responsibilities are different with an emphasis on special skills. These roles are equally exciting and upgrading your skills is the best way forward.
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