Tasks:
- * Deliver lectures, labs, and demonstrations
- * Design hands-on assessments
- * Develop and update curricula
- * Hold student office hours
- * Integrate AI-assisted data workflows
- * Maintain attendance and grade records
- * Prepare lessons and assessments
- * Provide timely feedback
- * Teach data analysis and visualization
- * Teach data collection and cleaning
- * Teach data communication
- * Teach data science courses
- * Teach data validation and transformation
- * Teach responsible AI use
- * Update instruction to reflect workforce needs
Perks/Benefits:
Skills/Tech stack required:
[AI Assisted Data Workflows] [AI ethics] [Assessment design] [Bias Mitigation] [Business Intelligence] [Competency-based curriculum] [Curriculum Design] [Data Analysis] [Data bias] [Data bias mitigation] [Data cleaning] [Data Documentation] [Data Preparation] [Data Privacy] [Data Science] [Data Transformation] [Data Validation] [Data Visualization] [Data workflows] [Generative AI] [Microsoft Access] [Microsoft Excel] [Power BI] [Prompting] [Relational databases] [SQL] [SQL Server] [Tableau]
Educational requirements:
N/A
Role(s):
[Adjunct Professor] [Adjunct Professor of Data Science] [Data Science] [Data Science Instructor] [Instructor] [Professor of Data Science] [Science Instructor]