Data Scientist
Job Summary
The Data Science Institute (DSI) is a campus-wide research institute that is central to the university's strategic priority to grow its research enterprise and expand its global impact. Our team of data scientists, software engineers, and AI engineers works shoulder-to-shoulder with faculty, students, and industry partners on problems across nearly every domain on campus.
A typical week at DSI might include scoping a new collaboration with a principal investigator, pair-programming on a deep learning pipeline with another member of DSI's technical staff, and reviewing a statistical analysis for a health sciences team. The same week could bring teaching a workshop and mentoring a graduate student. The work is varied and the collaborators change, but the throughline remains constant: we bring rigorous, reproducible data science to researchers who need it and help the campus build lasting capacity along the way.
DSI is also a core partner in the Wisconsin Research, Innovation and Scholarly Excellence (RISE) initiative, which is bringing over 150 new faculty to campus over three years and more than doubling investment in AI, sustainability, and health. As RISE expands, so does the demand for data scientists who can meet those faculty where they are and help turn ambitious research questions into impactful results.
Learn more about DSI at https://dsi.wisc.edu/ and RISE at https://rise.wisc.edu/.
Who we're looking for
We are hiring two to three Data Scientists to join the team, based on-site in Madison. We are looking for candidates who will thrive in a research environment: people who are technically strong, intellectually curious, and energized by the chance to apply their skills across many different domains.
Key Job Responsibilities
- Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators
- Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources
- Documents approaches to address research questions and contributes to the establishment of reproducible research methodologies and analysis workflows
- Independently identifies and implements 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
- Organizes and automates project steps for data preparation and analysis
- Engages in project intake, scopes new collaborations with researchers, and drafts statements of work for incoming engagements.
- Contributes to DSI's programmatic activities, including workshops, training, graduate student mentorship, and the institute's internal life.
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