Exploring Mathematical Optimization and Career Mindsets for Data Scientists

Daliana Liu is a big name in data science teaching, and she has always been generous in sharing everything she knows about getting a job in data science. In this episode, she continues to extend her generosity, helping listeners define their approach to achieving a fulfilling career in data science and tech.

This episode is brought to you by AWS Inferentia and AWS Trainium, by Babbel, the science-backed language-learning platform, and by Gurobi, the Decision Intelligence Leader. Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.

In this episode you will learn:

• Common career challenges for data scientists [34:57]

• Advice for people who don’t know where to go in their career [48:05]

• How to build resilience and protect against Imposter Syndrome [1:06:23]

• Skills that data scientists should develop today [1:39:17]

• The future of the data science and AI job market [1:46:55]

Additional materials: www.superdatascience.com/803