2 positions: Data Mining Consultant and Social Science Data Consultant

2 positions: Data Mining Consultant and Social Science Data Consultant

Data Mining Consultant and Social Science Data Consultant positions available at University of Virginia

Data Mining Consultant

http://jobs.virginia.edu/applicants/Central?quickFind=68828

Anticipated Hiring Range: $40,000 - $80,000

Posting Summary:  Seeking a dynamic and innovative individual who is eager to provide data mining services as part of a data services team, and who brings strong expertise in deriving research value from disparate data sets and environments. This position will be a central part of a new research data support service unit within the Library with the mission of collaborating with researchers and graduate students across the University to create innovative new opportunities around data-intensive research. The successful candidate will excel at helping clients find solutions to specific research problems by identifying and mining diverse data collections both inside and outside of the University's collections, as well as developing new skills and services that support a coordinated, scalable, and sustainable research environment for the University.

Required Education:  Masters or PhD, will consider degree from any disciplinary background, but must have knowledge of fundamental data mining principles from Engineering, Math, Statistics, Physics, or other technical field.

Social Science Data Consultant

http://jobs.virginia.edu/applicants/Central?quickFind=68829

Anticipated Hiring Range: $40,000 - $80,000

Posting Summary:  Seeking a dynamic and innovative individual who is eager to provide data services as part of a team, and who brings strong experience in social science research methods and a passion for supporting the full lifecycle of social science research data, from initial design to analysis to preservation. This position will be a central part of a new research data support service unit within the Library with the mission of collaborating with researchers and graduate students across the University to create innovative new opportunities around data-intensive research, paying particular attention to research made possible through new streams of data generated by massive, unpredictable social systems, like social media tool Twitter (referred to as "organic data" by US Census Director Robert Groves). The successful candidate will excel at both seeing the big picture of opportunities made possible by new technologies and social trends as well as at helping faculty and students find solutions to specific research problems, and in developing new skills and services that support a coordinated, scalable, and sustainable research environment for the University.

Required Education:  Master's degree required, preference for PhD, open to any area if appropriately representing the challenges and new opportunities made available through data-intensive social science research.

 

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