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Which one to choose between Optum and Tiger Analytics for Data Scientist position? Where can I expect better data science domain expertise (In my previous companies I found very less understanding of Data Science practices as team)? Heared good things about both of these. Also hearing Tiger is expanding rapidly and getting some crap projects as well in the name of data science. Could someone put light on these things?
YOE: 4.5 Years
Tiger: 18L Fixed + 1L JB
Optum: 21L Fixed + 1.5L JB
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Totally relate to the “intermediate purgatory” feeling. What helped me was committing to one messy, end-to-end project—even if it wasn’t perfect. Working with datasets from Kaggle competitions or Data.gov gave me more room to practice problem framing and cleanup, which tutorials don’t cover well.
Subject Expert
The only way to overcome this is not to let your curiosity go down. Learn from beginning to end, from data gathering to analysis to building a model, and then enjoy the joy of creating it.
The main thing is motivation. Good luck!