Education

Revealing 15 Interesting Data Scientists Roles for 2023

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.

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

RoleSkills   RequiredToolsIndustry
Analyzing   operations data to improve business processesData   analysis, data visualization, SQL, business acumenPython,   R, SQL, data visualization tools such as Tableau or PowerBIOperations   departments in various industries

Research Data Scientist

RoleSkills   RequiredToolsIndustry
Designing   and conducting research studiesResearch   design, data analysis, machine learning, data visualizationPython,   R, SQL, data visualization tools such as Tableau or PowerBIResearch   departments in various industries

Vertical Expert

RoleSkills   RequiredToolsIndustry
Analyzing   industry-specific dataDomain   knowledge, data analysis, industry-specific tools and technologiesIndustry-specific   tools and technologies, data visualization tools such as Tableau or PowerBIVarious   industries

Data Strategist

RoleSkills   RequiredToolsIndustry
Developing   and executing data-driven business strategiesData   analysis, business strategy, data visualization, project managementPython,   R, data visualization tools such as Tableau or PowerBI, project management   tools such as JIRA or AsanaVarious   industries

Data Architect

RoleSkills   RequiredToolsIndustry
Designing   and maintaining data architectureData   architecture, database design, cloud computing, software engineeringPython,   R, database management tools such as SQL Server or Oracle, cloud computing   platforms such as AWS or Google CloudTechnology,   data-driven companies

Cloud Computing Expert

RoleSkills   RequiredToolsIndustry
Designing,   deploying and managing cloud-based systems and dataCloud   computing, software engineering, data managementCloud   computing platforms such as AWS or Google Cloud, software engineering tools   such as GitTechnology,   data-driven companies

Cybersecurity Data Scientist

RoleSkills   RequiredToolsIndustry
Analyzing   and interpreting data to improve cybersecurity and prevent cyber attacksCybersecurity,   data analysis, machine learningPython,   R, machine learning frameworks such as TensorFlow or PyTorchTechnology,   finance, and various other industries

Data Visualization Expert

RoleSkills   RequiredToolsIndustry
Designing   and creating visual representations of data to communicate insightsData   visualization, data analysis, designData   visualization tools such as Tableau or PowerBI, design tools such as Adobe   Creative SuiteVarious   industries

Data Mining Expert

RoleSkills   RequiredToolsIndustry
Extracting   valuable insights from large datasetsData   mining, machine learning, data analysisPython,   R, machine learning frameworks such as TensorFlow or PyTorchVarious   industries

Data Warehousing Expert

RoleSkills   RequiredToolsIndustry
Designing   and maintaining data warehousing systemsData   warehousing, SQL, data managementSQL,   data warehousing tools such as Snowflake or Amazon RedshiftTechnology,   data-driven companies

Data Quality Analyst

RoleSkills   RequiredToolsIndustry
Ensuring   the quality and accuracy of dataData   analysis, data management, SQLSQL,   data analysis and management toolsVarious   industries

Digital Analytics Expert/Consultant

RoleSkills   RequiredToolsIndustry
Analyzing   digital data to inform business decisions and improve digital strategiesDigital   analytics, data analysis, project managementDigital   analytics tools such as Google Analytics or Adobe Analytics, project   management tools such as JIRA or AsanaDigital   marketing, technology companies

Spatial Data Scientist

RoleSkills   RequiredToolsIndustry
Analyzing   and interpreting geographic dataSpatial   data analysis, GIS, data visualizationGIS   tools such as ArcGIS or QGIS, data visualization tools such as Tableau or   PowerBIVarious   industries including real estate, urban planning, etc.

Business Analyst/Intelligence Analyst

RoleSkills   RequiredToolsIndustry
Analyzing   data to inform business decisionsBusiness   analysis, data analysis, project managementSQL,   data analysis and management tools, project management tools such as JIRA or   AsanaVarious   industries

Actuarial Scientist

RoleSkills   RequiredToolsIndustry
Applying   mathematical and statistical methods to assess financial risksActuarial   science, mathematics, statisticsActuarial   science software, statistical analysis tools such as R or SASInsurance,   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.

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