Which Roles Are Best for Data Science Professionals?

by Liza smith Passionate Writer

Data science is considered as the most attractive career option for the century. Data science needs business-savvy people who want to build a career. Any company with substantial operation generates a large amount of data. All such companies are wondering how to extract value from this data? It’s where they are looking out for professionals who are skilled in math, stats, and coding to find trends. Now you can quickly come across job roles like data architects, business analysts, data engineers, MIS reporting executives, statisticians, prominent data engineers or ML engineers. Professionals can join data science course in Gurgaon to get an opportunity in these roles. Now let’s look at some of the roles in detail.

Data Analyst

In this role, you will be responsible for a variety of tasks, including the visualization and processing of a large amount of data. You will be running queries on the database time-to-time. As a data analyst, you will have to do optimizations to create and modify the algorithms which will be used to get information from large volumes of data without corrupting it.

Skills Required: SQL, R, SAS, Python are some of the most sought-after technologies for data analysis. Once you have the professional certification, you can easily apply to various open positions.

Data Engineers

As a data expert, you will build and test the Big Data applications for the business. The data scientists will run their algorithms on them. It is crucial to ensure that these systems are optimized and are highly stable.

Skill Required: Hive, NoSQL, R, Ruby, JAVA, C++, and Matlab technologies should be hand on to you. You should also be able to work on the APIs and ETL tools.

Database Admin

The profile of the database administrator is self-explanatory. They are responsible for various databases of the enterprise. They allow or cancel the access given to any user and also provide a view depending on their requirements. Creating backups and handling data recovery is also part of their profile.

Skills Required: Some must-have skills include database backup and recovery, data security, modeling of data, and design. If you are good at handling disaster recovery, you will be more in demand.

Data Scientist

They have to understand the challenges of business. They offer the best solution using tools for data analysis and data processing. For instance, they have to carry out predictive analysis to get actionable views. They have to identify the trends and patterns that can help the companies in making better decisions.

Skills Required: You should be an expert in R, Matlab, SQL, Python and the other complementary technologies. If you have a degree in mathematics or computer sciences, it’s even better

Data Architect

They manage the data so that the databases are easily integrated, centralized, and protected with the best security. They ensure that the data engineers have the best tools.

Skills Required: A career in data architecture needs expertise in warehousing, modeling, and ETL. Hive, Pig, and Spark are the tools needed.

Get Enrolled Now!

As a professional, you need to start early and join a data science course in Gurgaon to get things rolling.