University of Notre Dame: Data Science Consultant
Seeking a Data Science Consultant with expertise in a quantitative social science discipline and advanced technical skills to support research activities undertaken at the University of Notre Dame.
The Center for Social Research and the Center for Research Computing seek a Data Science Consultant with expertise in a quantitative social science discipline and advanced technical skills to support research activities undertaken at the University of Notre Dame. This individual will consult directly with principal investigators and research personnel as well as work as part of interdisciplinary research teams. This individual must be intellectually curious and an independent and fast learner. The ideal candidate will be deeply familiar with statistics as well as standard and emerging tools and techniques for research design, data collection, and analysis.
- Act as an advisor and consultant, providing data analysis support, research design, and project management advice and leadership in small to large scale projects with social sciences, science, and engineering.
- Contribute to a broad range of research leadership activities including strategic planning, business development, proposal writing, project design, creation and formulation, applied grant finance, project budget development, communications and outreach.
- Provide active technical training, including organizing and presenting data science and statistical tools symposia and training workshops, and manage graduate students providing statistical consultation.
Doctoral degree (Ph.D.) in a quantitative discipline.
At least three years of professional or research experience developing quantitative models and performing data analysis, with particular depth in applied statistics, machine learning, and/or big data domains; strong business foundation to apply data science methodologies to research problems; agility working with both structured and unstructured data; fluency in one or more data analysis languages/environments such as R, Python, Julia, Stata, SPSS, and/or SAS; experience utilizing a high performance computing (HPC) environment; familiarity with documentation and version control.
Ph.D. in statistics or a quantitative social science discipline. Experience with any of the following would be beneficial, though not required: Hadoop, Apache Spark, Python, and unstructured data (e.g., social media, video, or audio).
The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and is committed to building a culturally diverse workplace. We strongly encourage applications from female and minority candidates and others that will enhance our community. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and requires affirmative action by covered contractors to employ and advance veterans and qualified individuals with disabilities in compliance with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a).
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