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2016 Data Science Salary Survey by Roger Magoulas, John King

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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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