Hey, what are your thoughts on going through the DS track at Yandex with the goal of landing a data scientist position in a competitive job market like San Francisco? Is this a realistic goal?
I have a bachelor's degree in a non-quantitative study. I recognize that job descriptions for data science, more often than not, stress their minimum requirements to be a Master's degree (PhD preferred) in a quantitative discipline like physics, math, statistics, etc. I feel this to be much more strictly enforced than compared to software engineering positions where you're much more likely to come across self-taught devs. I work on the product side and the data scientist attached to my team holds her M.S. in Statistics so that seems to hold up from everything I've observed. Essentially, I don't want to rush into studying and learning statistics/data science if the effort is futile or just not likely from the beginning.
Also does the job guarantee apply to students in the US? Or is that for Russian students? Does your program have any US employers as hiring partners?