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Field
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includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data sets, handling spatial data, applying machine learning algorithms, conducting computationally
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high-impact peer-reviewed journals. We are in particular looking for individuals with in-depth experience in econometric/quasi-experimental approaches for causal effect estimation (e.g., regression
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/access, and the application of statistical and econometric methods to transportation data. The successful applicant will lead day-to-day activities on various research projects funded by public and private
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environments, econometrics, and data science • Thrives in a multi-disciplinary environment • Strong written and verbal communication skills Desired Experience: • Experience in risk quantification
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provide excellent preparation for graduate school or work in a data science career. Work includes tasks such as conducting advanced econometric analysis and preparing results tables, managing large data
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, and developing econometric and statistical modeling using statistical analysis software such as R, SAS, Stata, Matlab, etc. Preferred Qualifications: Experience with geographic information systems (GIS
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University of California, San Francisco | San Francisco, California | United States | about 24 hours ago
, econometrics, or related fields. Significant experience using MS Word, Excel, and Access. Establish analyzable data sets and document them for future use by statisticians. Perform range and quality checks and
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environments, econometrics, and data science • Thrives in a multi-disciplinary environment • Strong written and verbal communication skills Desired Experience: • Experience in risk quantification
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econometric techniques, preferably through SAS, STATA, or R programming Proficiency in standard computer software such as Word, Excel, and PowerPoint Strong statistical programming abilities Ability to exercise
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, using advanced econometric techniques based on large datasets. Oversee the work flow of a team of research assistants. Exercise independent decision making with regard to progression of research project