Titles in the business world really make things interesting because their parameters are so wide. For an example you cannot call someone who codes in C# all day a nurse, but you can call this individual one of the following: Programmer, Software Engineer, Data Engineer, IT-Analyst, and so on.
Now that the title of Data Scientist became all the rage companies began naming all of their employees data scientists. Through the many conferences and networks I have met many individuals with the title of Data Scientist and varying skill sets. Unfortunately i would classify the minority as of these individuals as Data Scientists.
Now let me tell you my requirements of a Data Scientist.
So if you posses all of these skills and use them on a daily basis then I shall declare you a Data Scientist :)
Now that the title of Data Scientist became all the rage companies began naming all of their employees data scientists. Through the many conferences and networks I have met many individuals with the title of Data Scientist and varying skill sets. Unfortunately i would classify the minority as of these individuals as Data Scientists.
Now let me tell you my requirements of a Data Scientist.
- None of the following statistics shall scare ya: MLR, Corr, ANOVA, SD, Mean, Z-Score, Median, Probability
- Python or R. Preferably both
- I can talk with IT and Statisticians....cases or rows, variables or columns, datasets or tables.
- feature selection.....well obviously we are not using the entire data set
- Supervised and unsupervised machine learning is the norm
- Strong understanding of RDMS
- Storyteller-Data visualization
- Crazy problems don't scare you but excite you
- You know Excel sucks but ya find yourself still using it every so often
So if you posses all of these skills and use them on a daily basis then I shall declare you a Data Scientist :)