How To Start Your Career As a Data Scientist

Written by
Rebecca Smith

Mar 16, 2020

Mar 16, 2020 • by Rebecca Smith

A data scientist is a person who gathers and analyzes large chunks of data that could be both structured and unstructured. 

The basic responsibility of a data scientist is to study the data, carry out projections and create an action plan to generate profits for the company.

Business Intelligence data analyst whose job is to analyze the harvested data remains one of the most in demand IT jobs for 2020.

Let’s learn how you can start your career in data science and become a data scientist.


Responsibilities of a Data Scientist

As a data scientist, you will be responsible for the following tasks:

  • Working with stakeholders to improve the product performance.
  • Data collection by applying advanced statistical techniques such as customer profiling and data mining.
  • Data preparation by developing custom algorithms that could be applied to data sets.
  • Manage the entire A/B testing framework.
  • Leveraging the power of predictive modeling to optimize the overall customer experience and improve decision making.

Steps To Become a Data Scientist

Step 1: Enrol for an undergraduate degree in data science. You can even opt for a specialization in statistics, computer science or IT if data science isn’t available. Some universities do not offer a direct undergraduate program in data science so that’s not an issue, you can still opt for a degree in computer science or similar stream and start your career as a data scientist. 

Step 2: Learn the skills needed to become a data scientist. Become proficient in programming languages like C++, Java and Python. Continue to improve your skills by preparing software from scratch for companies in your neighbourhood. Do this for free and try to make effective use of large data sets obtained using the company data. Keep all the data confidential. The practical exposure you will get this way will definitely help you to progress your career as a data scientist. 

Step 3: Get an internship in a company for the data scientist role. This will help you learn practical things which will enhance your overall skills. Here is a great tutorial to help you earn an internship in data science. 

Step 4: Complete your masters degree in data science. Do not stop after you get a job. Make sure to complete your masters degree and opt for a specialization that you love the most. 

Applications of Data Science

With faster computers and cheaper storage options available today, the applications of data science are no longer limited to just one or two streams. Here are the trends in data science:

  • Data scientists are hired to detect fraud and risks associated with banking and finance.
  • Web application firewalls are used to restrict unauthorized access and step up the security.
  • The healthcare sector uses vast amounts of data to change the genetic makeup of the product to produce strains that sell the best. 
  • The food industry uses data to find interesting trends and launch new products based on the new findings. For example, online grocery platform, Mercato leveraged data to connect with different grocery store owners from different areas in the U.S. 
  • Search engines such as Google use data science to present the best search results before the searcher. 
  • Data science is used in the advertising industry to target customers by studying their behavior and preparing customized ads for them resulting in improved conversions and higher revenue. 
  • Data science is also used for airline route planning and for developing speech technology. 

Final Thoughts

If you are not afraid of numbers then data science is the right career option for you. There is no wonder that data science remains one of the most sought-after professionals of 2020. Start with a bachelor's degree, get a job to learn the practical skills related to the industry and proceed with a masters degree with proper specialization in your chosen subject.