Data Science Jobs Roles

A Data Scientist is somebody who is inquisitive, who can stare at data and spot trends. It’s almost like a Renaissance individual who really wants to learn and bring change to an organization.”

https://youtu.be/00xLZuxTzQc

Here list of diffrent data science jobs:-

• Data Scientist

One of the hottest job titles that you can proudly flaunt on your business card, is that of a data scientist. Data scientists are as rare as unicorns and get to work every day with the mindset of a curious data wizard. They master a whole range of skills and talents.

• Advanced analytics professional

An advanced analytics professional would typically perform  simulations, predictive analytics, prescriptive analytics, and other forms of advanced analysis.

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  Data Analyst

Data analyst job listings encompasses a large spectrum of responsibilities, right from  creating systems that enable business users to gain insights, to ensuring data quality and governance, and to the performance of actual data analysis.

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  Data Engineer

Making the jobs of data scientists and data analysts easier, is what the data engineers do.

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  Business analyst

Tasks that are very similar to those performed by data analysts can be performed by business analysts. 

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  Database Administrator

A database administrator is responsible for all things related to the  monitoring, operation and maintenance of databases.

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  Business Intelligence Professional

OLAP tools, reports, and dashboards to look at historical trends in data sets are business intelligence professionals.

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  The statistician

The historical leader of data and its insights – the statistician! Replaced by more exotic sounding job titles, and though often forgotten; the statistician represents what the data science field stands for – gaining useful insights from data. 

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  Data Architect

The importance of a data architect’s job is quickly increasing, with the rise of big data. The data architect creates the blueprints for data management systems to integrate, centralize, protect and maintain the data sources. The data architect masters technologies like  Pig, Spark and Hive etc.

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  The Machine Learning Engineer

There exist a number of companies for whom their data or their data analysis platform is their product. If so, the data analysis or machine learning going on can be quite intense.