September 2016
Beginner
40 pages
46m
English
Content preview from 2016 Data Science Salary Survey
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Appendix B. Appendix B: The Regression Model
+60.0 Constant: everyone starts with this number
+2.6 Multiply by per capita GDP, in thousands (e.g., for Iowa, 2.6 * 52.8 = 137.28)
-7.8 gender = Female
+3.8 Per year of experience
+7.4 Per bargaining skill “point”
+17.2 Age: 26 to 30
+22.5 Age: 31 to 35
+24.8 Age: 36 to 65
+38.5 Age: over 65
+3.9 Academic speciality is/was mathematics, statistics or physics
+12.2 PhD
-9.7 Currently a student (full- or part-time, any level)
+2.2 industry = Software (incl. SaaS, Web, Mobile)
+3.0 industry = Banking/Finance
-2.0 industry = Advertising/Marketing/PR
-24.5 industry = Education
-3.9 industry = Computers/Hardware
+7.1 industry = Search/Social Networking
+3.6 Company size: 501 to 10,000
+7.7 Company size: 10,000 or more
-4.3 Company age: over 10 years old
-8.2 Coding: 1 to 3 hours/week
–3.0 Coding: 4 to 20 hours/week
–0.5 Coding: Over 20 hours/week
+1.0 Meetings: 1 to 3 hours/week
+9.2 Meetings: 4 to 8 hours/week
+20.6 Meetings: 9 to 20 hours/week
+21.1 Meetings: Over 20 hours/week
+1.0 Workweek: 46 to 60 hours
–2.4 Workweek: Over 60 hours
+20.2 Job title: Upper Management
-0.9 Job title: Engineer/Developer/Programmer
+3.1 Job title: Manager
-1.0 Job title: Researcher
+14.3 Job title: Architect
+4.6 Job title: Senior Engineer/Developer
+4.5 ETL (minor involvement)
-1.9 ETL (major involvement)
-4.9 Setting up/maintaining data platforms (minor involvement)
+4.4 Developing prototype models (minor involvement)
+12.1 Developing prototype models ...
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