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sometimes when you see some person get a data scientist job at google or amazon youll be like oh that person must be a genius and how lucky they are but in reality they have done a lot of grunt and dirty work in their day-to-day life in data science you have to do lot of dirty data cleaning work and you should not be afraid about it you have to do a lot of math and statistical statistics reading spending a lot of time in understanding business problems brainstorming trying out non-machine learning approaches and even if you get a job at big companies there also you are doing a lot of dirty work so the secret to success is love the process not the final outcome