An Introduction to Data Science Career Paths

Today, our economy is inclined more towards big data, data science, and data analytics, since companies have been producing a huge amount of data every day. According to LinkedIn, there is an incessant demand for professionals who can interpret and mine humongous data sets. These are called data scientists. 


What is a Data Scientist?
Data scientists are a blend of computer scientists, mathematicians, and trend-spotters. The role of a data scientist is to decode humongous data sets and carry out further analysis to spot the latest trends in the data. The goal is to gain meaningful insight into what it all means. Data scientists operate somewhere between the IT world and business, and drive business enterprises by monitoring, analyzing and evaluating complex datasets to gain insights that businesses can leverage into result driven actions.

What Data Science Roles are Out There?
Here are some common job titles for data scientists:

1. Data Mining Engineer
A Data Mining Engineer evaluates the data not only for their own business, but for third parties as well. Apart from monitoring, and analyzing datasets, a data mining engineer creates sophisticated algorithms and tools to help in analyzing the data further. 

Skills you’ll need to become a data engineer: Good knowledge of warehousing solutions (SQL and No SQL – based flavors) and data storage, and also deep knowledge of programming frameworks such as Hadoop and Spark.

2. Data Architect
Data Architects work closely with developers, system designers, and users to create blueprints that data management systems use to maintain, integrate, centralize, and protect data sources.

Skills you’ll need to become a data architect: Develop data models for database structures, research new opportunities for data acquisition, produce and enforce database development standards, implement actions to ensure data accuracy and accessibility, and more.

3. Business Intelligence Analyst
A business intelligence analyst uses data to identify business and market trends by analyzing and evaluating data to develop a clear picture of where the company stands in the market.
 
Skills you’ll need to become a BI Analyst: Forecasting, Statistical Analysis, Risk Assessment, Research, Reporting, Validate Functionality, Data Review, Problem Solving, Designing and Implementing Tests of Processes, and Eliciting and specifying project requirements and more.

4. Data Scientist
The role of a data scientist starts from translating a business case into an analytics agenda to understanding data, and developing hypotheses - as well as exploring hidden trends and patterns to assess what impact they will have on businesses.  They also discover and create algorithms to help further analyze voluminous data sets. They also leverage big data, data science, and business analytics to explain what effect the data will have on an organization, as well as aiding in crafting solutions that will help the company to stand out.

Skills you’ll need to become a data scientist:  Knowledge of mathematics, statistics, algorithms, and vast knowledge of the programming languages such as Python and R language. Also, you should have good knowledge of how to structure a data problem.

If you too are planning to become a data scientist, it’s the right time to take a data science program online from a good institute.
Location: Bengaluru, Karnataka, India

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