Careers
Data Science Careers in the Public & Nonprofit Sector
You will find here some resources for students and faculty that are applying data science tools to public and nonprofit sector contexts. These include pedagogical resources for students doing graduate-level work in MPA, MPP or nonprofit programs, PhD seminars that share data programming resources, and data science methods within the field of public policy using R.
CONTENT:
- Data Science Careers in the Public & Nonprofit Sector
- Careers
- Professional Training
- Data Science Communities
Careers
Although the learning curve is steep, there are clear pay-offs. Nonprofits, governments, foundations, and think-tanks are actively seeking people with data science training to work as policy analysts, evidence-based managers, chief data officers, or evaluation specialists.
The UK Government has put together a nice overview on data science career paths in government.
Job Growth for R Skills
- Analyst Positions [ link ]
- Current: [ R Users & here ]
- Blog [ Freelance R Programmers ]
Example Fellowships:
Data Incubator [ fellowship overview ]
Data Science for the Public Good [ link ]
Example Job Boards:
Indeed + “R Statistics” [ link ]
R Users [ link ]
Zip Recruiter [ link ]
Professional Training
Data Science Courses in Public Affairs Schools
- Arizona State: [ Data Science for the Social Sector ] [ Data-Driven Management for Public Organizations ]
- Brigham Young: [ Data Science for Public Management ] [ Data Viz ]
- Georgetown: Data Science for Public Policy
- Syracuse iSchool: [ Applied Data Science ]
- Carnegie Mellon: [ Data Analytics Course ]
- SUNY Albany: [ PhD Seminar in Social Network Analysis ]
- Hertie School of Governance: [ Data Analysis ] [ Collaboration ] [ Text Analysis ]
- University of Washington: [ course ]
- Carleton University, Canada: [ Big Data & Society ]
- Colby College: [ Data Analysis ] and [ Statistics ]
Degree Programs
- Arizona State University: MS in Policy Analytics and Program Evaluation
- University of Southern California: Civic Tech USC
- University of Chicago: MS in Computational Science and Public Policy
- Carnegie Mellon: Joint PhD in Public Policy and Machine Learning
Training Opportunities in Government
- Datapolitan [ link ]
- San Francisco [ link ]
- New York [ link ]
- Department of Commerce [ link ]
- Health and Human Services [ link ]
Data Science Communities
R Open Science [ link ]
R Open Government [ link ]
R Ladies [ link ]
Conferences [ link ]
Nonprofit Open Data Collective [ link ]
GitHub’s Government Team [ link ]
Professional Networks
Ford Foundation: Public Interest Technology [ link ]
Bloomberg Foundation: What Works Cities [ link ]
Blogs and Listservs
R-Bloggers [ link ]
R Weekly [ link ]
Stack Overflow [ link ]
Flowing Data [ link ]
Data Science Podcasts
Data Points by GovEx [ link ]
Partial Derivative [ link ]
DMV Nation [ link ]
Becoming a Data Scientist [ link ]
Data Stories [ link ]
Talking Machines [ link ]
Not So Standard Deviations [ link ]
Data Skeptic [ link ]
More Or Less [ link ]
Linear Digression [ link ]
R-Podcast [ link ]
Data Journalists, Bloggers & Civic Groups
Trend CT [ link ] [ github ] [ style guide ]
Todd Schneider [ blog ] [ github ]
I Quant NY [ blog ]
ChartsNThings: A Blog by the NYT Graphics Dept [ link ]
Data for Democracy [ link ]