I need a career advice from you.
I'm 26 and working as a data scientist for less than 2 years. I have a statistics and economics background mainly. My tech skills can be summed up by a good knowledge of SQL,Python and R.
My first experience was a 6 month internship for a software house company that aims at building product for banks and financial institution. Here I worked with other 2 unexperienced data scientist, all with a statistics background like me.
I left and currently I'm working in a big company, one of the major wholesaler in Europe.
The problem I'm struggling with , it's that I'm the only data scientist in the company and in a digital marketing dept, so with non tech people.
After almost a year, I'm quite tired of working alone and i don't feel I have been growing much professionally.
A thought I had a while ago, was to ask a temporary shift to Data Wharehouse department in order to acquire more Database related knowledge. Another idea was obviously to ask for another data scientist.
My doubt can be summed up like this:
Regarding first idea: As a data scientist, what DB knowledge should i master? I'm quite good with SQL, mainly to perform data extraction and also create some simple table structure. It could be benificial to know more on this topic, for example data migration, ETL procedure, etc etc? I'm planning to learn more about Hadoop/Spark/Hive/Cassandra, but we don't have this tech stack at work. Just an oracle db.
For budget reason, I'm aware that if they'r gonna hire a new data scientist it couldn't be someone with much of experience. In this case it's very unclear to me if I could benefit from working with another unexperienced ds or i should prefer the first option.
Thanks for any opinion