Data Science Careers in the Public & Nonprofit Sector

This page includes some examples of career paths and professional opportunities that apply data science tools to public and nonprofit sector work.


CONTENT:




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.

US Digital Services Overview

  • Inside Obama’s Stealth Startup [ link ]
  • Why I Joined the US Digital Services [ link ]
  • Five Examples of How Federal Agencies Use Big Data [ link ]
  • AI Initiatives in the Federal Government [ link ]

Job Growth for R Skills

Example Fellowships:

Example Job Boards:

  • Indeed + “R Statistics” [ link ]
  • R Users [ link ]
  • Zip Recruiter [ link ]




Professional Training

Example Data Science Courses in Schools of Public Affairs and Journalism

Degree Programs

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 ]
GitHub’s Government Team [ link ]

Professional Networks

Ford Foundation: Public Interest Technology [ link ]
Bloomberg Foundation: What Works Cities [ link ]
Nonprofit Open Data Collective [ 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 ]

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 ]