From gaming to e-commerce, well-nigh every industry has seen the significant influence of a data scientist. Practically, data scientists can be considered Iron Man for their team.
While we are all familiar with Iron Man and his power in Marvel, many are unaware of how data scientists work in the ever-evolving corporate world and how they aid in making informed decisions.
So here in this article, we will walk you through the responsibilities of a data scientist & different types of data scientists that are in demand.
Table of Contents
What does a data scientist do?
The data scientist role combines the use of several traditional and technical jobs, including mathematician, scientist, statistician, and computer programmer, and interprets the large amounts of raw data that is drawn from multiple sources and converted into accessible formats so that it is easy to interpret & make decisions.
Now, let’s take a closer look at different types of Data Scientists:
15 Types of Data Scientists Roles
Operations Data Analytics
Role
Skills Required
Tools
Industry
Analyzing operations data to improve business processes
Data analysis, data visualization, SQL, business acumen
Python, R, SQL, data visualization tools such as Tableau or PowerBI
Operations departments in various industries
Research Data Scientist
Role
Skills Required
Tools
Industry
Designing and conducting research studies
Research design, data analysis, machine learning, data visualization
Python, R, SQL, data visualization tools such as Tableau or PowerBI
Research departments in various industries
Vertical Expert
Role
Skills Required
Tools
Industry
Analyzing industry-specific data
Domain knowledge, data analysis, industry-specific tools and technologies
Industry-specific tools and technologies, data visualization tools such as Tableau or PowerBI
Various industries
Data Strategist
Role
Skills Required
Tools
Industry
Developing and executing data-driven business strategies
Data analysis, business strategy, data visualization, project management
Python, R, data visualization tools such as Tableau or PowerBI, project management tools such as JIRA or Asana
Various industries
Data Architect
Role
Skills Required
Tools
Industry
Designing and maintaining data architecture
Data architecture, database design, cloud computing, software engineering
Python, R, database management tools such as SQL Server or Oracle, cloud computing platforms such as AWS or Google Cloud
Technology, data-driven companies
Cloud Computing Expert
Role
Skills Required
Tools
Industry
Designing, deploying and managing cloud-based systems and data
Cloud computing, software engineering, data management
Cloud computing platforms such as AWS or Google Cloud, software engineering tools such as Git
Technology, data-driven companies
Cybersecurity Data Scientist
Role
Skills Required
Tools
Industry
Analyzing and interpreting data to improve cybersecurity and prevent cyber attacks
Cybersecurity, data analysis, machine learning
Python, R, machine learning frameworks such as TensorFlow or PyTorch
Technology, finance, and various other industries
Data Visualization Expert
Role
Skills Required
Tools
Industry
Designing and creating visual representations of data to communicate insights
Data visualization, data analysis, design
Data visualization tools such as Tableau or PowerBI, design tools such as Adobe Creative Suite
Various industries
Data Mining Expert
Role
Skills Required
Tools
Industry
Extracting valuable insights from large datasets
Data mining, machine learning, data analysis
Python, R, machine learning frameworks such as TensorFlow or PyTorch
Various industries
Data Warehousing Expert
Role
Skills Required
Tools
Industry
Designing and maintaining data warehousing systems
Data warehousing, SQL, data management
SQL, data warehousing tools such as Snowflake or Amazon Redshift
Technology, data-driven companies
Data Quality Analyst
Role
Skills Required
Tools
Industry
Ensuring the quality and accuracy of data
Data analysis, data management, SQL
SQL, data analysis and management tools
Various industries
Digital Analytics Expert/Consultant
Role
Skills Required
Tools
Industry
Analyzing digital data to inform business decisions and improve digital strategies
Digital analytics, data analysis, project management
Digital analytics tools such as Google Analytics or Adobe Analytics, project management tools such as JIRA or Asana
Digital marketing, technology companies
Spatial Data Scientist
Role
Skills Required
Tools
Industry
Analyzing and interpreting geographic data
Spatial data analysis, GIS, data visualization
GIS tools such as ArcGIS or QGIS, data visualization tools such as Tableau or PowerBI
Various industries including real estate, urban planning, etc.
Business Analyst/Intelligence Analyst
Role
Skills Required
Tools
Industry
Analyzing data to inform business decisions
Business analysis, data analysis, project management
SQL, data analysis and management tools, project management tools such as JIRA or Asana
Various industries
Actuarial Scientist
Role
Skills Required
Tools
Industry
Applying mathematical and statistical methods to assess financial risks
Actuarial science, mathematics, statistics
Actuarial science software, statistical analysis tools such as R or SAS
Insurance, finance industries
Conclusion
The key to success as a data scientist is possessing the right skill set and expertise, which may be developed through data science certification courses. So, if you want to be a remarkable data scientist, enroll in a data science certification program and begin your journey.
That being said, just remember that these different types of data scientist roles are not exhaustive; additional comparable roles will arise in the future based on demand and the intricacy of the role.
Thanks for posting, keep adding more valuable content.