Working as a Data Scientist/Statistician/Predictive Modeler
please understand that it’s my first post, I wanted to ask any advices about landing on TRUE data scientist role.
I’m currently working as a data analyst, executing data QA, visualization and some automation work. Like most of others, this role is heavy on SQL, Tableau, and Python.
With the background of math and stats, I’ve always wanted to work on predictive/forecasting analytics but my daily task is more on simple descriptive stats side.
I’ve been self studying with mooc courses and playing in the kaggle for about a year, but I met the barriers and found out there’s a definite limitation of resources in that most of the classes give a few lines of code, brought from handy library, without explaining math/statistical theology behind that. That’s how I landed on online master program in Georgia Tech but I don’t expect that much from this, to be honest.
What I want to ask is..
1. If you want to grow up as a predictive modeler but has limited resources (no real data scientists among you), what are the best way to overcome and use current resources? For example, I’ve been doing side projects in my work, trying to implement statistical learning to current business model, etc, but there’s not really to help me with this among my peers.
2. For those of you working as a data scientist, how did you land your current role? I have hard time to even get selected on the first round. Maybe lacking year of experience but I think, at least in data analyst field, there’s not much gap between someone has a 1 yr exp vs. 5 yoe. So there’s not much room to grow.
Apologize for the long words, but I don’t really have anyone in this field to ask this kind of stuff. Thank you in advance!