I think the quote and definition from the blog is a good one: “better engineers than statisticians and better statisticians than engineers”. Perhaps that 1997 quote was influential in the decision to use the term Data Science, I think the current usage encompasses much more than statistics. When I started it required the ability to push production code, build statistical models, and communicate results effectively. Maybe I'm wrong and maybe the tools got better, but for a while, you couldn't provide value if you couldn't get to the data or create the data you needed.
"In November 1997, C.F. Jeff Wu gave the inaugural lecture entitled "Statistics = Data Science?" for his appointment to the H. C. Carver Professorship at the University of Michigan. In this lecture, he characterized statistical work as a trilogy of data collection, data modeling and analysis, and decision making. In his conclusion, he initiated the modern, non-computer science, usage of the term "data science" and advocated that statistics be renamed data science and statisticians data scientists."
From the same article, a quote from Nate Silver:
"I think data-scientist is a sexed up term for a statistician....Statistics is a branch of science. Data scientist is slightly redundant in some way and people shouldn’t berate the term statistician."
If your skillset differs from a statistician, then calling yourself a data scientist is not going to be a differentiating title in common parlance.
[1] https://en.wikipedia.org/wiki/Data_science#History