The document provides an overview of different career paths in data science, including data scientist, data engineer, and data analyst roles. It summarizes the typical job duties, skills required, tools used, and average salaries for each role. Additionally, it notes the large and growing demand for data science professionals, with over 215,000 open jobs in the US as of January 2017 and top hiring locations of San Francisco, New York, and Seattle.

1. Data Science
Career Paths
Overview & Comparison

2. The world produces
2,500,000,000,
000,000,000+
bytes of data every day, that’s equal to
10 million
Blu-Ray disks stacked the height of
4 Eiffel Towers.
Source: http://www.vcloudnews.com/every-day-big-data-
statistics-2-5-quintillion-bytes-of-data-created-daily/

3. A Data Scientist solves
problems with large amounts of
data.
Example: Analyze tweets to figure out
whether or not a tweet sent to a
company is positive or negative.

4. The US alone will face a shortage of
150,000+
data analysts and an additional
1.5 million
data-savvy managers

5. What makes
Springboard unique?3 common roles in
Data Science

6. Data
Scientist
Data
Engineer
Data
Analyst

7. Data Scientist
Also called Statisticians, Data Managers

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
Data Scientist

9. Average salary
$USD
115,000
Data Scientist
Skills needed
Mathematics,
Programming,
Communication
Tools used
SQL,
Python,
R

10. Data Engineer
Also called Data Architects

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.
Data Engineer

12. Average salary
$USD
100,000
Data Engineer
Skills needed
Programming,
Mathematics,
Big Data
Tools used
Hadoop,
NoSQL,
Python

13. Data Analyst
Also called Business Analysts

14. A Data Analyst helps people from across
the company understand data insights
they’ve unearthed.
Data Analyst

15. Average salary
$USD
65,000
Data Analyst
Skills needed
Statistics,
Communication,
Business
Knowledge
Tools used
Excel,
Tableau,
SQL

16. How do the roles connect?
Inspired by Drew Conway

17. Typical Majors
Mathematics
Economics
Computer
Science
Engineering
Physics
Statistics
Business

18. ~215,000
Open job positions
Data from Indeed.com, January 2017

19. Top 3 hiring locations
in the U.S.
San Francisco New York Seattle

20. What makes
Springboard unique?Data Science Profiles

21. DJ Patil
Data Scientist
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,
Data Engineer
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,
Data Analyst
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
pharmaceutical company.

24. Data science is a new and exciting field filled
with lucrative career paths.
Curious to learn more?
Check out Data Science Career
Track!

25. Ready for the next step?
Read more at
www.springboard.com/blog/data-science-career-paths-
different-roles-industry

26. www.springboard.com