From academia to the corporate world

With more and more data available and generated daily, uncovering patterns and drawing informed insights from them to solve complex problems are skills that data scientists need to acquire. Although they are formal and nonformal routes to have a data science career, there are a few things you need to do on top of it to be successful. On her transition from Academia to Industry, from a Mathematics professor to a Lead Data Scientist, Melissa assembles a set of steps to accomplish this goal for individuals with a mathematical background like her or without any prior experience in this field of study.

Learn the steps needed to flourish in a new position

• Working on mentored data science projects with industry mentors
• Networking through LinkedIn, Meetup, and other applications
• Volunteering with different organizations