What is it like to be a data scientist at IBM?

Data Science, AI and ML
#1

Following is the experience shared by one of the ex-employees who had worked with the firm:

  • You have access to an unrivaled toolkit of software, projects, service support, and industry consultants and experts.

  • Along with the $6 billion in research funding, the company has remained at the top of the global patent rankings for the past 22 years.

  • If you think of a corporation, organization, or institution, they likely use IBM technology in their infrastructure.

  • As a result, any organization, wherever in the world, might be a potential client. As a result, the problems studied in traditional and nontraditional environments and problem spaces are astounding.

  • Cancer and oncology, high-end asset optimization, children in intensive care, marketing, and digital innovation, social science, psychology, human behavior, animal behavior, financial crime protection, security solutions, cryptography, policing, and other emergency services, more innovative solution designs for startups and companies innovating their business models… you get the picture.

  • Economic business cases, predictions, classical statistical models, and reporting solutions are among the less exciting problems to solve.

  • If you are fortunate enough to work in IBM Research, these issues become even more cutting-edge. You might even be working on open source projects in addition to your regular job.

  • IBM can give an unrivaled set of prospects for a data scientist.

  • It all depends on what you are interested in and what you are capable of.

  • There is no way you would become bored.