Top Data Science Careers of the Future

Top Data Science Careers of the Future

In this article, I have listed 9 Data Science careers that have transformed with the rise of Data Science and related fields. We will see how Data Science has revolutionized the way businesses perceive data and excite you about what is in store for the future.

When I wrote the first part of the blog Top 9 Data Science Careers of the Future in July, I did have in mind other Data Science career pathways that needed to be put out. I was overwhelmed to see people reaching out on this particular blog and sharing the views on many other careers: retail, education, and more.

Well, it is time that I finally write a Part 2 on Top Data Science Careers of the Future.

In the rapidly expanding technological world of today, when humans tend to generate a lot of data, it is quintessential that data is analyzed. D_ata is now the frontier for business or I can say it has become fuel for industries_.

There are various industries like banking, finance, manufacturing, transport, e-commerce, education, etc. that we’ve heard use data science. In this article, I have listed 9 Data Science careers that have transformed with the rise of Data Science and related fields. We will see how Data Science has revolutionized the way businesses perceive data and excite you about what is in store for the future.

1. e-Commerce / Retail

e-Commerce is all about making recommendations to the customer and luring them into buying things they might not even need and making them regret about the payment they just made. Am I right or am I right? 😛

Any e-commerce website is sure to have a recommendation system. If you are interviewing for Amazon, Wish, Instagram, or any app/website that sells products, a recommender system project can surely be a talking point in your interview. Other use cases of Data Science in e-commerce:

  1. Analyze customer sentiment from social media, user ratings, comments, product reviews
  2. Predict the lifetime value of customers: Customer lifetime value is the total value of the customers’ profit to the company over the entire customer-business relationship.
  3. Manage inventory with data models
  4. Improve Customer Service
  5. Retain customers with customized offers
  6. Prime Optimization rules e-commerce: when to make what offer and for how long
  7. Fraud detection: Payment integration invites fraud detection and risk management
  8. Market Basket Analysis: You might also like, People also bought

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