We are hiring Data Scientists, Post-docs, and Engineers: Work on Data Science problems with Social Impact

DSSG Fellow

Are you interested in using your machine-learning, data-mining, and data science skills to make the world a better place? The Center for Data Science & Public Policy at the University of Chicago has openings for Post-Doctoral Data Science for Social Good Fellows with a strong background in machine learning/data mining/statistics and a passion for social impact. Post-Doc Fellows will work on and lead projects related to education, public health, criminal justice, environment, economic development and international development in partnership with government agencies and nonprofits.

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RESPONSIBILITIES

  • Work on and lead cross-disciplinary teams of computer scientists, statisticians and social scientists focused on data science projects with social impact
  • Help define and scope data science projects with government agencies and nonprofit partners
  • Help build software prototypes and open-source code for solving social problems
  • Help organize the Data Science for Social Good Summer Fellowship
  • Publish and disseminate results of Data Science for Social Good projects in conferences, journals and blogs

QUALIFICATIONS

  • Strong academic record and PhD (finished or expected soon) in computer science, machine learning, statistics, computational or quantitative physical/social sciences or related areas
  • Experience working on real-world problems and passion for making a social impact
  • Strong programming skills (ideally in Python)
  • Strong database skills
  • Data analysis, machine learning, data mining skills
  • Experience with experimental design

TO APPLY

Applications should be submitted using this link and include a CV, expected date of availability and contact information for three references. Applications will continue to be accepted until positions are filled.