Data Scientist II or III

Current Employees: If you are currently employed at any of the Universities of Wisconsin, log in to Workday to apply through the internal application process.

Job Category: Academic Staff

Employment Type: Regular

Job Profile: Data Scientist II

Job Summary: The University of Wisconsin Population Health Institute (UWPHI) accelerates capacity to create equitable conditions for everyone to be healthy by advancing knowledge, practice, policy, and systems change across sectors. UWPHI seeks a Data Scientist to help develop tools and resources that focus on the drivers of health and health equity across communities. This role combines rigorous statistical analysis with modern data science practices, including use of Git Hub for version control, collaboration, and reproducible analyses.

The successful candidate will work with large, complex datasets to generate actionable insights on population health for public health and health care audiences. Using tools such as R, Python and SQL, the Data Scientist will help design, document, and share analytical workflows and interactive dashboards that inform local decision‑making. Ideal candidates are detail‑oriented, collaborative, and committed to high‑quality, open, and policy‑relevant research.

This position may require some work to be performed in‑person, onsite, at a designated campus work location. Some work may be performed remotely, at an off‑site, non‑campus work location.

Applicants for this position will be considered for the following titles Data Scientist II or Data Scientist III. The title is determined by the experience and qualifications of the finalist.

University sponsorship is not available for this position, including transfers of sponsorship and TN visas. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment.

This position is an ongoing position that will require continuous work eligibility. If you are selected for this position, you must provide proof of work authorization and eligibility to work.

Candidates who demonstrate the following knowledge, skills, and abilities will be given first consideration:

• Ability to identify data needs, and experience curating data from a variety of sources, assessing limitations and data quality, to manage, aggregate, and document for a particular use.
• Exceptional written and verbal communication skills
• Ability to independently problem solve and adapt
• Ability to work in a hybrid work environment with various stakeholders, both internally and externally

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

Department: School of Medicine and Public Health, Population Health Institute

The UW Population Health Institute (UWPHI) works to improve the health of all people in Wisconsin and beyond by conducting research and providing technical assistance to policymakers, practitioners, and communities. UWPHI works toward a world where we value each other, honor our connectedness, and build communities where everyone can thrive.

Compensation: The starting salary for the position is $85,000 annually; but is negotiable based on experience and qualifications.

Employees in this position can expect to receive benefits such as generous vacation, holidays, and…