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Data Scientist
University of Wisconsin-Madison. Develop reproducible workflows, analyses, dashboards, and reports for research and operational decision-making .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in statistical analysis, machine learning, and data preparation, with a strong focus on developing reproducible workflows and automated reporting processes. Proficient in Python and Linux, with a solid foundation in data science methodologies and the ability to mentor and supervise research students.
Highest-signal resume keywords
Statistical AnalysisMachine LearningPython ProgrammingData PreparationFlywheel Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisMachine LearningData Mining TechniquesAutomated ReportingData CleaningData ValidationData TransformationWorkflow DocumentationResearch MethodologiesProgramming
Soft Skills
MentoringSupervisionCollaborationCommunicationOrganizational Skills
Tools & Technologies
PythonLinuxFlywheel
Industry Keywords
Data ScienceApplied MathematicsReproducible ResearchOperational Decision-MakingResearch Dissemination
Tech Stack
Tools & technologiesLinuxPython
About the role
Key responsibilities & impact- Develop reproducible workflows, analyses, dashboards, and reports for research and operational decision-making
- Document analytical methods and maintain reproducible research workflows and standards
- Apply statistical analysis, machine learning, AI, and data mining techniques
- Design and implement automated data preparation, analysis, and reporting processes
- Prepare, clean, validate, transform, and integrate datasets
- Document approaches to address research questions
- Compose reproducible workflows and reports to articulate patterns to researchers and administrators
- Organize and automate project steps for data preparation and analysis
- Assist the principal investigator with hiring, training, and supervision of students and staff
- Participate in national and international meetings to disseminate research
- Assist faculty with education and mentoring of research students
Requirements
What you’ll need- One year of statistics or machine learning in professional and/or staff setting
- Experience working with Flywheel
- Proficiency with Python, Linux, and general programming, especially in statistics and machine learning
- Bachelor's Degree in Machine Learning, Statistics, Data Science, Applied Mathematics, or another closely related field is required
- Cover letter required
- Resume required
- Employment may require a criminal background check
- Occasional night and weekend events may be required
- Employees must come to Madison, WI on quarterly preset dates, with travel expenses covered by the employee
Benefits
Comp & perks- Flexible work schedules
- Comprehensive benefits
- Professional development
- Generous vacation, holidays, and sick leave
- Competitive insurances and savings accounts
- Retirement benefits