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Want to be a data scientist in 2023? If so, you’re not alone. But rapidly shifting economic conditions and recent massive layoffs at companies like Meta may have many of the nearly 106,000 data scientists in the U.S., and those looking to enter the field — one in which the average salary is $100,274 per year — wondering what the coming year will bring. What skills will be most in demand? What is a data scientist’s typical day really like? What are the biggest industry trends?
Daliana Liu, senior data scientist at machine learning company Predibase and podcast host of The Data Scientist Show, likes to ask, and answer, those very questions. In fact, she started her podcast — which now boasts 55 episodes featuring interviews with data scientists from companies including Meta, AirBnB, Nvidia and Google — because she felt data science needed more dialogue around the trends, skills and lessons learned, directly from the voices of real professionals working in the sector.
After previously working as a senior data scientist and senior machine learning instructor for Amazon Web Services (AWS), Liu said she knows what it’s really like as a professional in the field.
“I can share some advice I didn’t know when I got started,” she said, adding that she sometimes felt alone on her career path. Data science, she explained, can feel siloed at times, especially with remote work.
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“I felt there’s a gap between what …