Panel on Navigating Massive Layoffs, Hiring Freezes, and Tech Industry Careers in 2023
Wednesday, February 15, 2023 from 12/noon - 1:30pm ET
It's all over the news: companies in big tech have drastically diminished their positions and stopped hiring in the last few months. There were a huge rise of positions available during the rise of the pandemic, but many companies indeed overestimated how many positions they would need and this has led to the massive declines we're seeing today.
"Nearly 200,000 tech employees have been laid off since the start of 2022, according to Layoffs.fyi, a site that tracks job cuts in the sector. Four of the largest tech companies - Alphabet, Amazon, Meta and Microsoft - have announced a total of more than 50,000 job cuts in recent months." – NY Times Article
Many students studying statistics and data science degrees dream to enter the kind of jobs that the tech industries provide, is this still possible given the drawbacks of positions in recent months? As an early-career statistician and data scientist ready for finding your next position, how can you secure your position in this industry?
Instead of our regularly scheduled career fair in February, NISS is bringing together statisticians to discuss the issue of finding a job during the massive layoffs, hiring freezes, and give advice to prospective employees on getting hired in the tech industry in 2023.
Speakers:
Jie Chen, Decision Science and Artificial Intelligence Model Validation in Corporate Model Risk, Wells Fargo
Shuonan (Shannon) Dong, Boeing Commercial Airplanes Product Development, UW Boeing Advanced Research Center
Martin Tingley, Lead, Experimentation Platform, Netflix
Dhanushi Wijeyakulasuriya, Data Scientist, Microsoft
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Randy Freret
National Institute of Statistical Sciences
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