Data Science Job Roles And what We Learn For job ?

Most prominent Data Scientist job titles are :

• Data Scientist
• Data Engineer
• Data Analyst
• Statistician
• Data Architect
• Data Admin
• Business Analyst
• Data/Analytics Manager

Data Scientist:

• Role: A Data Scientist is a professional who manages enormous amounts of data to come up with compelling business visions by using various tools, techniques, methodologies, algorithms, etc.
• Languages: R, SAS, Python, SQL, Hive, Matlab, Pig, Spark

Data Engineer:

• Role: The role of a data engineer is of working with large amounts of data. He develops, constructs, tests, and maintains architectures like large scale processing systems and databases.
• Languages: SQL, Hive, R, SAS, Matlab, Python, Java, Ruby, C + +, and Perl

Data Analyst:

• Role: A data analyst is responsible for mining vast amounts of data. They will look for relationships, patterns, trends in data. Later he or she will deliver compelling reporting and visualization for analyzing the data to take the most viable business decisions.
• Languages: R, Python, HTML, JS, C, C+ + , SQL

Statistician:

• Role: The statistician collects, analyses, and understands qualitative and quantitative data using statistical theories and methods.
• Languages: SQL, R, Matlab, Tableau, Python, Perl, Spark, and Hive

Data Administrator:

• Role: Data admin should ensure that the database is accessible to all relevant users. He also ensures that it is performing correctly and keeps it safe from hacking.
• Languages: Ruby on Rails, SQL, Java, C#, and Python

Business Analyst:

• Role: This professional needs to improve business processes. He/she is an intermediary between the business executive team and the IT department.
• Languages: SQL, Tableau, Power BI and, Python