Hi, can we send this job req out to the list? Thanks very much, -Solomon
http://www.pewresearch.org/about/careers/data-scientist-data-labs/
Position Summary:
The Data Scientist will be part of the Data Labs team, a new area of the
Center that provides researchers intellectual and analytical expertise and
support needed to experiment with newly available data sources and
methodologies. Pew Research Data Labs uses techniques from 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 Data Scientist should be hungry and eager to be a part of a team using
new methods to contribute to research that serves the public good. He/she
will be adept at extracting critical takeaways from complex analyses, and
articulating them with concise prose and compelling visualizations. He/she
should have experience designing PhD level social science research, and
should have experience answering important questions using approaches from
machine learning and computational social science. He/she should be
adaptable and comfortable trying out new approaches and languages.
The Data Scientist will contribute on all aspects of a wide range of
research projects. This includes development, original research and writing
– and managing involvement in a number of different projects at once.
Primary Responsibilities:
- Determine the best research methods and tools to answer the questions
at hand
- Project design and development
- Conduct/Implement original research
- Coordinate with outside data suppliers
- Data management, statistical modeling
- Write research reports
- Write short form posts related to project work
- Stay abreast of developments in data science, new data sources, and
methodologies
Knowledge and Skill Requirements:
- Proficiency in R and/or Python (including Pandas, Scikit-learn, SciPy
+ NumPy)
- Strong writing skills
- PhD level research design experience
- Proficiency with SQL
- Experience with machine learning (e.g., SVM, Random Forests,
GBRT/GBDT, ensemble methods, etc.)
- Familiarity with Natural Language Processing (preprocessing,
term-document matrix representation, named entity recognition, POS
taggers/parsers/etc.) strongly preferred
- Experience interacting with web APIs, working with JSON data, and
utilizing regex strongly preferred
- Experience scraping unstructured data from the web strongly 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) to
gather/generate data preferred
- Experience compiling and/or using network data preferred
Solomon Messing
http://solomonmessing.wordpress.com/
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