How To Prepare For Data Science Based On Company Type

 
 The massive amount of attention being paid to data scientists has only highlighted the uncertainty around the precise responsibilities the job entails. Now a days people are learning Data science but they don't know how to crack job. Separate job roles have been grouped under the data scientist umbrella, causing unnecessary confusion during the hiring process — and sometimes preventing companies from hiring the candidate they actually need.Making data accessible to data scientists and analysts in databases, potentially including streaming data. They may also work with Type B data scientists to integrate models into production.
Main tools: Python/Java/Scala, SQL, Spark, Airflow/Jenkins, cloud computing, Docker

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