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A survey of 2013 data science salary survey”
- 1. A survey of "2013 Data Science Salary Survey” 2014/04/26 Tokyo Webmining / @showyou 1/32
- 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 2/32
- 3. Agenda About me Survay Comments/ my opinions 3/32
- 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 5/32
- 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 6/32
- 7. The jobs of respondents(1) Top 10 Industories -> Startup 1/5 Median salary: Startup > Public > Private > gov 7/32
- 8. The jobs of respondents(2) Most respondents(56%) describe themselves as data scientists/ analysts. 8/32
- 10. Tool usage SQL/RDB is Top R Python > Excel 10/32
- 11. Tool correlations Orange: Group “Hadoop” Blue: Group “SQL/Excel” Red: Neither 11/32
- 14. Median Salary vs Tools 14/32
- 15. Salary vs Hadoop or SQL/Excel 15/32
- 17. Comment or my opinion 17/32
- 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,... 18/32
- 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 19/32
- 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+ $51,200 Sun Francisco Bay area Strata survay : 50% over are Tech lead or Executive 20/32
- 21. Indeed search(Tokyo, JP) Keyword Low High mean Hadoop 5.00+ m Yen 13.00+ 6.27 Hive 5.00+ 13.00+ 6.68 SAS 4.00+ 12.00+ 6.13 Data scientist 4.00+ 12.00+ 5.81 Excel 3.00+ 11.00+ 4.40 21/32
- 22. Salary US vs JP(1$=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 22/32
- 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
- 25. Appendix 25/32
- 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). 26/32
- 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 27/32
- 28. R language R is a free software environment for statistical computing and graphics http://www.r-project.org/ e.g. $ R > demo(graphics) 28/32