HOA1&2 - Module 3 - PREHISTORCI ARCHITECTURE OF KERALA.pptx
A survey of 2013 data science salary survey”
1. A survey of
"2013 Data Science
Salary Survey”
2014/04/26 Tokyo Webmining / @showyou
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2. 2013 Data Science Salary Survey
http://strata.oreilly.com/2014/01/2013-data-science-salary-survey.html
＋My Comments
Mostly figures come from this survay.
Abstruction
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4. About me
Datamining Engineer
Hadoop(Pig, Hive, Cloudera Hue)
BI Tool, JIRA, Confluence, git
Python, MachineLearning, NLP(Lang),
(R, js, highchart, C++, Java)
Status: Looking for the new job
Previous: Hikarie
Not an job consultant or recruiter
http://about.me/showyou41 4/32
5. Summary of this paper
OSS(Python, R) > Tradisional Tools(SAS, Excel)
Tradisional Tools are used in relative isolation
Wider variety of tools, higher salary
Bigdata = higher salary
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6. Respondents
Atendees of Two Strata
conferences (New York 2012
and Santa Clara 2013)
Members&range of ages in
US is ->
Most respondents is 30s or
40s
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7. The jobs of respondents(1)
Top 10 Industories ->
Startup 1/5
Median salary:
Startup > Public > Private
> gov
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8. The jobs of respondents(2)
Most respondents(56%)
describe themselves as
data scientists/ analysts.
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18. Questionare of the categolize
Orange vs Blue seems correct, but Red is
doubtful
e.g. JavaScript vs D3.js, VBA vs C#, Python vs
Ruby, Pentaho vs Tableau,...
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19. What is data scientist?
What are differences of data scientist & analiyst?
The definitions of data scientist in U.S. and JP are
different.
U.S.: O’reilly http://radar.oreilly.com/2010/06/what-is-data-science.html
JP:Nikkei http://itpro.nikkeibp.co.jp/article/Keyword/20130614/485142/
Japanese often drops the side of Engineering
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20. Indeed search(US)
Keyword Low High mean
Hadoop $60,000+ $140,000+ $81,300
Hive $60,000+ $140,000+ $80,400
SAS $50,000+ $130,000+ $72,100
Data scientist $50,000+ $130,000+ $72,000
Excel $30,000+ $110,000+ $51,200
Sun Francisco Bay area
Strata survay : 50% over are Tech lead or Executive 20/32
21. Indeed search(Tokyo, JP)
Keyword Low High mean
Hadoop 5.00+ m Yen 13.00+ 6.27
Hive 5.00+ 13.00+ 6.68
SAS 4.00+ 12.00+ 6.13
Data scientist 4.00+ 12.00+ 5.81
Excel 3.00+ 11.00+ 4.40
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22. Salary US vs JP(1$=102.5Yen)
US($) JP(m Yen) JP($) US/JP
Hadoop 81,300 6.27 61,200 1.33
Hive 80,400 6.68 65,200 1.23
SAS 72,100 6.13 59,800 1.21
Data scientist 72,000 5.81 56.700 1.27
Excel 51,200 4.40 42.900 1.19
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23. Costs US vs JP
U.S.
House(Cal, Bayarea,
1Bed room, Sep 2013)
$2192~ $2800
Foods
$8~$12~+ｔip15%
JP
House(Tokyo, 1 Room
under 30m^2, Apr
2014)
20k~150k Yen
Foods 500~1500 Yen
US = JP * 1.2 or 1.5 23/32
26. Tool usage in Tokyo Webminig #35
All people using Excel(but I don’t
know whether for data mining or not).
Javascript / SAS / SPSS is
higher, Hadoop is lower
A few Hadoop developer joined in
Tokyo Webmining(They often joined
Hadoop Code Reading).
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27. Hive
http://hive.apache.org/
SQL like language for
Hadoop
Convert hiveQL to
map reduce when you
execute hive query
http://www.cloudera.com/content/cloudera/en/products-and-services/cloudera-live.html
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28. R language
R is a free software
environment for statistical
computing and graphics
http://www.r-project.org/
e.g.
$ R
> demo(graphics)
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