Hi all, I've been working in finance for 5 years, analyzing financial data using sql, and building prediction models with R and Python. Recently I got intrigued by data science and joined a boot camp to systematically learn Python. Now I'm in the job market hunting for data science, but the jobs all seem to target hard core coding skills, algorithms, Java, ETL,... makes me wondering are the data science jobs designed for CS folks? Where are reachable jobs for career changers? I can't compete on solving algorithm interview questions with CS grads. Sure I can get a 'data analyst' position, playing data with Excel and sql, but that's not much different from what I currently do. Any advice on a realistic career path would be much appreciated!
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In market there are two kinda jobs ... One is data analyst who is responsible to find good prediction models and other who wrange with large data and make systems who can handle all that data. If you want to write code which can handle and run on terra bytes if data then there is no way to do it other than learning it from scratch. That's the reason CS grads are hired for that kind of job.
Thanks! That draws a clear picture. Now I'm just looking to break into the data science field, aka the type A data scientist. Do you think tech firms have more openings for type B (big data)? For career progression, is being not able to handle large data a potential ceiling for type A data scientists?
The hardest thing for Type A is getting their models into production or incorporating realtime signals or feedback... At the entry level, a solid foundation in statistics is going to be your golden ticket. Scaling up to “big data” isn’t hard on the JVM, just study how to use java.util.concurrent.* well.