It is a talk given by Wasserstein, Ronald L(Executive Director of American Statistical assosication). NYC Open Data meetup are honored to host this event on Mar 3rd. You can find more information at www.meetup.com/nyc-open-data and www.nycopendata.com

1. Data Sciences and Statistics
What is the intersection?
Ron Wasserstein, Executive Director
American Statistical Association

3. Data
Science
Statistics

4. Data
Science
Statistics

5. Data
Science
Statistics

6. Statistics
Data
Science

7. Data
Science
Statistics

8. Statistics

9. Statistics

10. Fire up your mobile devices
• #ronwnyc
• ron@amstat.org
• Vocal cords

11. Feedback request #1
• In a short phrase, like the way
someone might describe their work
(firefighter, lawyer, bank teller,
secretary, etc.), please describe the
work that you do.
ron@amstat.org #ronwnyc

12. Feedback request #2
• What is your formal job title?
ron@amstat.org #ronwnyc

13. Now imagine we had 100,000,000 of
these responses
• WWADSD?
• WWASD?

14. Talent Analytics Brief: Four Functional
Clusters of Analytics Professionals
• Pasha Roberts, Greta Roberts
• July 2013
• http://www.talentanalytics.com/wpcontent/uploads/2014/01/TA_AP_ResearchBrief.pdf
• Drop me a note and I’ll send you this URL
ron@amstat.org #ronwnyc

15. Four functional clusters of
analytics professionals
•
•
•
•
Data Preparation Analysts
Analytics Programmers
Analytics Managers
Analytics Generalists

16. Feedback request #3
• Without waiting for the descriptions
of these things, which one best
describes how you view yourself
currently? (“None” is also an option)
– Data Preparation Analysts
– Analytics Programmers
– Analytics Managers
– Analytics Generalists
ron@amstat.org #ronwnyc

17. Feedback request #4
• Does this set of clusters adequately
describe the data science world, in
your experience? Why or why not?
– Data Preparation Analysts
– Analytics Programmers
– Analytics Managers
– Analytics Generalists
ron@amstat.org #ronwnyc

19. Clustering data scientists
•
•
•
•
Data developer
Data researcher
Data creative
Data businessperson
ron@amstat.org #ronwnyc

20. Feedback request #5
• Without waiting for the descriptions
of these things, which one best
describes how you view yourself?
(“None” is also an option)
– Data developer
– Data researcher
– Data creative
– Data businessperson
ron@amstat.org #ronwnyc

21. Feedback request #6
• Does this set of clusters adequately
describe the data science world, in
your experience? Why or why not?
– Data developer
– Data researcher
– Data creative
– Data businessperson
ron@amstat.org #ronwnyc

22. http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram

23. Tomasz Tunguz (Redpoint)
Which of the Five Types of Data
Science Does Your Startup Need?
•
•
•
•
•
Quantitative, exploratory data scientists
Operational data scientists
Product data scientists
Marketing data scientists
Research data scientists
• http://www.linkedin.com/today/post/article/201
31002174328-4444200-which-of-the-five-typesof-data-science-does-your-startup-need
ron@amstat.org #ronwnyc

24. Sean Owens blog (Cloudera) today
• those practicing “investigative analytics”
and
• those implementing “operational
analytics.”
• blog.cloudera.com/blog/2014/03/whyapache-spark-is-a-crossover-hit-for-datascientists
ron@amstat.org #ronwnyc

25. Shaped for success
•
•
•
•
I-shaped
“dash” shaped
T-shaped
Π-shaped (or even “comb-shaped”)
ron@amstat.org #ronwnyc

26. Feedback request #7
• What is the one skill you’ve most
needed that you did NOT learn in
school?
ron@amstat.org #ronwnyc

27. What are people hiring data scientists
saying?

28. Can you get to the middle?

30. ©American Statistical Association 2014
Statisticians bring
integrity to the
processes and
data that fuel
innovation and
have real impact
on our world.

31. Final feedback
• What else can you tell me that will
help the statistics community better
understand the data science
community?
ron@amstat.org #ronwnyc