Pew Research Center is a nonpartisan fact tank that informs the public about the issues, attitudes and trends shaping America and the world. It conducts public opinion polling, demographic research, media content analysis and other empirical social science research in the areas of U.S. politics and policy views; media and journalism; internet and technology; science and society; religion and public life; Hispanic trends; global attitudes and U.S. social and demographic trends. Pew Research Center does not take policy positions. It is a subsidiary of The Pew Charitable Trusts. The Center’s work is carried out by a staff of about 140.
Join the Data Labs team, a new group within the Center that uses cutting edge data science and computational methods to contribute to our ongoing research in our key areas: politics; religion; journalism; science and technology, Hispanics; social trends; and global attitudes.
The fellowship is offered as a one-year program. The fellowship will provide incumbents with an opportunity to learn about and work with industrial data science tools while pursuing their own research. We encourage fellowship participants to work with a large data repository of communication and government data that the Data Labs team has collected. Incumbents should be eager to learn about bleeding edge methods to contribute to research that serves the public good. They should have experience designing PhD level social science research, and should have experience addressing important questions using approaches from machine learning and computational social science. Incumbents should be adaptable and comfortable trying out new approaches and languages.
Fellowship participants will be responsible for conducting an original research project that complements the Data Labs research agenda. They will also contribute to ongoing Data Labs research projects.
- Determine the best research methods and tools to answer research questions
- Conduct and implement original research
- Data management and statistical analysis
- Write in-depth research reports and short form posts related to project work
- PhD level research design experience is strongly preferred
- Summer positions are designed for students who are currently enrolled in a Doctoral program and have completed at least one year of graduate work
- Applied research experience required
- Experience interacting with web APIs, working with JSON data, and utilizing regex preferred
- Experience working with datasets too large to fit into memory preferred
- Experience with machine learning (e.g., SVM, Random Forests, GBRT/GBDT, ensemble methods, etc.) preferred
Knowledge and Skills Requirements
- Proficiency in R and/or Python (including Pandas, Scikit-learn, SciPy + NumPy) preferred
- Proficiency with SQL preferred
- Familiarity with Natural Language Processing (preprocessing, term-document matrix representation, named entity recognition, POS taggers/parsers/etc.) preferred
- Familiarity working with image data, OpenCV, and/or convolutional neural networks for machine learning (e.g., Caffe) preferred
- Experience using crowd-sourcing (e.g., Mechanical Turk) preferred
- Experience scraping unstructured data from the web preferred
- Experience compiling and/or using network data preferred
Applicant should send a résumé, cover letter (indicating where you learned of the opening) to email@example.com. Responses can also be mailed to:
Human Resources Department
Pew Research Center
1615 L Street, NW Suite 800
Washington, DC 20036
We are an equal opportunity employer.