8. A Data Scientist will be able to take data
science projects from end to end.
They can help store large amounts of data,
create predictive modeling processes and
tell stories about the findings
11. Data Engineers are versatile generalists
who create data pipelines to help process
large amounts of data.
They typically focus on coding, cleaning up
data sets, and implementing requests that
come from Data Scientists.
21. DJ Patil
As the former Chief Data Scientist of the United
States Office of Science and Technology Policy, DJ
is the perfect prototype of the Data Scientist.
22. Doug Cutting,
The creator of Hadoop and a member of Apache’s Board of
Directors is a model of the data engineer who builds tools to
process big data.
23. Roger Huang,
The humble author of this piece, while nowhere near
as talented as the two individuals referenced above,
did serve a brief stint as a data analyst for a
24. Data science is a new and exciting field filled
with lucrative career paths.
Curious to learn more?
Check out Data Science Career
25. Ready for the next step?
Read more at