compose and assemble reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
prepare data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
document approaches to address research questions and contribute to the establishment of reproducible research methodologies and analysis workflows
independently identify and implement appropriate data science techniques to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining
organize and automate project steps for data preparation and analysis
engage in project intake, scope new collaborations with researchers, and draft statements of work for incoming engagements
contribute to DSI's programmatic activities, including workshops, training, graduate student mentorship, and the institute's internal life

demonstrated experience with data science and computational workflows, including data wrangling, cleaning, modeling, visualization, and analysis
demonstrated programming experience in at least one language commonly used for data science (Python, R, Julia, or comparable)
demonstrated ability to take a vague research question, sharpen it into something answerable, and deliver results that move the work forward
strong written and oral communication skills, including the ability to explain technical work to non-technical collaborators and to build consensus across disciplinary boundaries
ability to work independently and as part of a team, set priorities, exercise good judgment about where to invest effort, and adapt as projects evolve

Data Scientist

Key skills