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Career Track

DATA SCIENTIST

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WHO IS A DATA SCIENTIST?

A data scientist is an analytical expert who is responsible for gathering, analysing, and inferring large data sets through the technical skills and curiosity to explore solutions.

Data Scientist is the person who is capable of performing multiple roles such as data analyst, software engineer, data miner, business communicator, trouble-shooter, key stakeholder, and manager.

WHAT IS NORMALLY MENTIONED IN A DATA SCIENTIST JOB DESCRIPTION?

(What does a Data Scientist do?)

The roles and responsibilities of a data scientist mainly depend on the type of client they are working for and their main skill set.

Below is the detailed description of the responsibilities of a data scientist that most of the companies are looking for:

  1. Collecting data in large quantity and analysing it
  2. Working with stakeholders for recognizing opportunities throughout the organization to explore business solutions
  3. Data mining with the utilization of methods of state of the art
  4. Advancing the procedure of data collection to include the facts which are relevant for developing analytic systems
  5. Assessing the efficacy and accuracy of data gathering techniques and new data sources
  6. Performing ad-hoc analysis and offering outcomes in a nicer way
  7. Utilizing Predictive modelling to enhance and improve the experiences of customers, profits generation, and other business results
  8. Identifying different trends, relationships, and patterns within data
  9. Arranging data preparation and text analytics
  10. Interacting the outcomes to IT leaders and business
  11. Coordinating with various functional teams to implement models and observe results.
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– Let’s have a look at what companies look for while hiring a Data Scientist’s – 

, Data Scientist Career Path
, Data Scientist Career Path
, Data Scientist Career Path
, Data Scientist Career Path

WHO POSTS DATA SCIENTIST's JOBS?

(Who hires a Data Scientist?)

Healthcare:

The primary objective is to be able to accumulate, construct and process the high volume data and further analyse it. This helps in gaining a detailed understanding of the human body. This is the main goal for introducing data scientists in healthcare sector all over the world. The data scientists also have the strongest caliber to transform healthcare as per our industry expertise.

Retail:

Retail data is increasing exponentially with every passing year. Smart retailers are aware that every single interaction holds the potential for profit. A Data Scientist can help the retailers to turn insights from big data into profitable margins using insight-driven plans, investing in existing employees and big data talent. Data Scientist can burrow into the mountain of big data and help retailers to reduce the costs and increase sales.

, Data Scientist Career Path

Construction:

Data Science can help to drive a positive safety culture in the project. You can tag and detect common safety risks like missing hard hats or the gloves of people. There are numerous fatalities/injuries that take place at a construction site. Data Science solutions can make a huge difference by predicting and mitigating risks to avoid these incidences. Therefore, data scientists are now becoming a major part of the industry to easily and quickly complete these tasks in a more organized way.

Banking:

Data Scientists are required in banking firms to advance their consulting methods based on the previous choices of the customers. Data Scientists also assist in fighting against bank frauds by using predictive models and analysis.

Transportation:

In today’s world, the need for reaching destinations on time is increasing, and data scientists help public transportation providers enhance the probability of fruitful journeys. Data scientists can tell the number of people boarding on a given bus or lessen the distances travellers must walk to board buses. Data scientists are helpful in assisting people in the rail industry, also. They can provide you with details about trains’ braking mechanisms, distance and more.

Information Technology:

Information Technology (IT) firms need data scientists to analyse their business and its future scope. Data scientists help the IT domains to understand their loopholes and work on overcoming the day-to-day challenges faced by them. The growing competition, technological advances, and an ever-reducing world is paving exciting roads ahead for Data Science.

Checkout Become A Data Scientist Full Course  Video:-

WHAT ARE THE IMPORTANT DATA SCIENTIST SKILLS?

There are certain skills that are very important to a Data Scientist role. These skills help them to stand out among others.

The skills are listed below:

  • You must know how to work on Analytics tools
  • Statistical and Programming Skills
  • Python or R or SQL are a few programming skills which are a must to have for a Data Scientist’s role
  • Should have Domain Knowledge
  • You must be able to visualize data with the aid of data visualization tools
  • Knowledge of machine learning and artificial intelligence
  • Proficiency in SAS and Tableau are also significant
  • Problem Solving Skills
  • You must have the ability to understand and manipulate unstructured data
  • Data wrangling is another important skill that is a must for data scientists
  • Ability to solve Real-World Problems

WHAT ARE THE QUALITIES NEEDED TO BE A DATA SCIENTIST?

Math /Analytical Functions

For expertise in Data Science, it is important to have a better understanding of Math so that data scientists can develop complex models of finances or operations utilizing statistics. Also, Data scientists must have a better understanding of analytical functions so that they can solve all critical problems easily.

Critical Thinking

A data scientist must be able to analyse every problem in detail and understand relevant points that require undivided attention.

Business Awareness

You must understand how the problem you solve can impact the business. You must understand how businesses operate and which business problem is critical so that you can direct your efforts in the right direction.

Communication

Both written and verbal Communication skills must be excellent for data scientist’s role as you have to communicate with various stakeholders.

Intellectual Curiosity

As a data scientist, it is important to have a curious nature as you need to discover more and more about your data to acquire more knowledge about it.

WHAT IS THE EDUCATIONAL QUALIFICATION FOR A DATA SCIENTIST?

Data scientists are highly educated, 88% of the individuals working as data scientists hold Master’s degree and about 46% of individuals have done their Ph.D.

However, you can learn data science after earning a bachelor’s degree as well.

Typical Salary Range of a Data Scientist?

Because the demand is greater than supply, skilled Data Scientist command great pay and excellent perks, even at the entry level. 

ENTRY LEVEL (0-3 YEARS)$90k-$113k
Mid-level (3-5 years)$110k-$200k
ENTRY LEVEL (0-3 YEARS) ₹3-11L
Mid-level (3-5 years)₹6-22L
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