Major Research Question: What is the current status of Data Science? Other Questions: What are the key educational backgrounds of the current Data Scientists and Data Analysts? What are the key programming languages ? Do they really increase the chances of employment? Who switch career into Data Science or Data Analysis? Why? What are the chances of female data scientist/analyst to find a job? What are the key features of Canada’s D.S market, and how is it different? t questions do you want to see answered? Key Findings Surprisingly, Canada’s market for Data Science and Analysis does not require formal education, but perhaps more professional designations. This is unlike the international market that requires formal education with tendency to require more Master’s degrees. There is a slight increase in tendency for hiring female D.S (although insignificant). Surprisingly, Canadian market appeals more to R and SAS than the International market appealing to python. The international market most fitted age groups is (45-65), while Canada’ s age group is (25-44). There is a positive association between career switching and job employment. Social Science is the least to be hired internationally, and natural science is the least in Canada.