45 min
PhDs 005: Job Search – with David Hardtke PhDs at Work Podcast
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- Careers
We chat with David Hardtke, Senior Engineeering Manager at LinkedIn, about data science, the job search, and the work he’s doing to bring the two together.
QUOTES FROM DAVID
“You don’t want to hire narrowly focused people that only want to do one thing for the rest of their career. You want people that have enough intellectual curiosity to want to do something else after a couple of years.”
“We can use modern tools of data mining and machine learning to see what are the hidden patterns that predict success when looking and applying for a new job.”
“Finding good people is not a database query. It takes some ingenuity.”
“Sometimes you don’t want to take the most stable job. You want to take the job that makes you best for your next job.”
“In data science, the models and the math – the stuff that we love – is the same, but we’re solving real-world problems.”
“We innovate, we publish, we patent. Some of the fun stuff that you get to do when you’re an academic. But you can’t work on problems that take two years to solve, because there are demands placed on you by shareholders and public markets, so you have to pick problems that can be solved in six-month time scales , not two-year time scales.”
LINKS & RESOURCES
IceCube Telescope Finds High-Energy Neutrinos, Opens Up New Era in Astronomy
Wired
Dunning–Kruger Effect
Hirable Like Me: Interviewers favor applicants who remind them of themselves
Lauren Rivera
The Startup of You: Adapt to the Future, Invest in Yourself, and Transform Your Career
Reid Hoffman and Ben Casnocha
Why Good People Can’t Get Jobs: The Skills Gap and What Companies Can Do About It
Peter Cappelli
GitHub
Kaggle
We chat with David Hardtke, Senior Engineeering Manager at LinkedIn, about data science, the job search, and the work he’s doing to bring the two together.
QUOTES FROM DAVID
“You don’t want to hire narrowly focused people that only want to do one thing for the rest of their career. You want people that have enough intellectual curiosity to want to do something else after a couple of years.”
“We can use modern tools of data mining and machine learning to see what are the hidden patterns that predict success when looking and applying for a new job.”
“Finding good people is not a database query. It takes some ingenuity.”
“Sometimes you don’t want to take the most stable job. You want to take the job that makes you best for your next job.”
“In data science, the models and the math – the stuff that we love – is the same, but we’re solving real-world problems.”
“We innovate, we publish, we patent. Some of the fun stuff that you get to do when you’re an academic. But you can’t work on problems that take two years to solve, because there are demands placed on you by shareholders and public markets, so you have to pick problems that can be solved in six-month time scales , not two-year time scales.”
LINKS & RESOURCES
IceCube Telescope Finds High-Energy Neutrinos, Opens Up New Era in Astronomy
Wired
Dunning–Kruger Effect
Hirable Like Me: Interviewers favor applicants who remind them of themselves
Lauren Rivera
The Startup of You: Adapt to the Future, Invest in Yourself, and Transform Your Career
Reid Hoffman and Ben Casnocha
Why Good People Can’t Get Jobs: The Skills Gap and What Companies Can Do About It
Peter Cappelli
GitHub
Kaggle
45 min