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Data Scientist II or III

UW-MADISON

MADISON, WI · HybridJobSeen todaySeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
MADISON, WIHybrid
Work Authorization
Not specified

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Job overview

The University of Wisconsin Population Health Institute seeks a Data Scientist to develop tools and resources focused on the drivers of health and health equity. The role uses rigorous statistical analysis and modern data science practices to analyze complex datasets, create actionable population-health insights, and develop analytical workflows and interactive dashboards for local decision-making. Work may be performed onsite at a designated campus location or remotely. Applicants may be considered for Data Scientist II or III based on experience and qualifications.

Skills & qualifications

RequiredNice to have

Skills

Statistical AnalysisData ScienceGitHubRPythonSQLAnalytical WorkflowsInteractive DashboardsAttention to DetailCollaborationOpen ResearchPolicy-Relevant Research

Qualifications

Continuous US Work Eligibility

Full job description

JOB REQUIREMENTS: 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 GitHub 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 offsite, 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... For full info follow application link. The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/ ***** APPLICATION INSTRUCTIONS: Apply Online: ipc.us/t/82AED6B1EF3F442D

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