Any suggestions for how to prep for a Data Scientist, Experience Management - Consultant position @ Deloitte?
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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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Which group will you be interviewed? For me, it’s about solving technical issues on Git & just normal conversations with Management team to share about the ex-projects/ some behavior questions. Some questions related to what will you do in scenario x or y. But more technical focus
Mentor
Just learn to use git. It will take you an hour. Install it on your personal laptop. Create a repo. Put some code in it. Commit it. Push it to GitHub. Use this with your personal coding projects.
This position is with the Experience Management Team in Deloitte Digital.
Any idea about the compensation for a Data Scientist, Consultant at deloitte digital in SoCal?