I’ve been an information scientist for over 3 years. That is what most individuals need to know in regards to the field.
Most persons are each impressed and confused once I tell them I’m an information scientist.
Impressed since it’s considered such a elaborate and prestigious title nowadays (though some will still call us statisticians who can code).
Confused because … what does data science mean, really? And what will we do?
Well, it depends.
On the domain, the corporate, and the team itself.
But basically, data science encompasses the next categories of labor:
- Databases and data engineering — Many data scientists work closely with databases, whether that’s loading and querying large amounts of information, constructing data pipelines, or cleansing and preparing data for evaluation. At my last company, I used SQL frequently to access our database with a view to query data needed to construct ML models. I also found myself creating and altering tables with a view to store results from models and other analyses.
- Data analytics and visualization — Data visualization involves not only analyzing the information but…
