Data Science is a vast field that holds a lot of potential career opportunities. If you choose correctly, you can enter a leading field that will fuel the industry of the future science. Let’s take a look at some of the high-paying careers in the data science field.
The science of decision-making is a relatively new one. Decision Scientists help companies make business decisions with the help of Artificial Intelligence and Machine Learning.
It is a part of Data Science to expand data design thinking and behavioral science to have a better understanding of customers. The median salary in this position is $69,192/year.
A Data Architect is responsible for implementing the blueprints of the company’s data platform. These blueprints describe the various models, policies, and rules that control data storage within organizations.
The Data Architect can also organize and manage data both at the macro level and the micro level. Some of the important tools used by Data Architects are XML, Hive, SQL, Spark, and Pig. The average salary of a Data Architect is $123,680 per year.
A Data Engineer is responsible for building big data models for data scientists to work with. Data engineering involves related knowledge of software engineering principles.
The data engineer must be proficient in both structured as well as unstructured data. They are not only responsible for building data models, but also maintaining, managing, and testing them regularly.
Knowledge of database models and ETL are two of the most essential requirements for this job. Data Engineers focus on modeling processing systems on a large scale using tools like SQL, Hive, Pig, Python, Java, SPSS, SAS, etc.
Data Science Manager
Data Science Manager is responsible for handling and performing management of data science projects to meet the deadlines. Typically, Data Science Managers usually have an average of 5 years of experience in any data science field such as Data Engineering, Data Science or Analysis.
The specific job of the Data Science Managers is to plan and manage the route for the working team. Furthermore, they are responsible for executing the plan and delivering the results ahead of time. This job also requires communication skills and leadership to run the project effectively. The average salary for a Data Science Manager is around $69,059/year.
Statistician is the oldest position of all the roles covered in this article. Before discovering the potential of Data Science, statisticians were recruited by companies to gain insight into different trends in the market.
A Statistician is responsible for performing A/B testing, collecting & describing data, developing statistical tools for inference, and performing testing of hypotheses. Some of the tools used by statisticians are R, SAS, SPSS, Matlab, Python, Stata, SQL, etc. The average salary of a Statistician is about $82,477 per year.