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Teaching and Research Assistant(m/w/x)
Synthesizing academic literature and preparing teaching materials for data science research. Ongoing bachelor's or master's studies with at least two semesters remaining required. Six weeks vacation, flexible working hours.
Requirements
- Ongoing bachelor's or master's studies
- At least two semesters remaining before graduation
- Strong academic performance
- Marketing, economics, information systems, data science, statistics, or related field
- Excellent command of German
- Excellent command of English
- Strong organizational skills
- Ability to structure tasks efficiently
- Proactive mindset
- Reliable and independent way of working
- Strong skills in summarizing academic literature
- Communicating research insights clearly
- Proficiency in MS Office
- Basic experience with Python or R
- Familiarity with analytical databases
- Familiarity with ClickHouse or BigQuery
- Familiarity with object storage or related data infrastructure
- Willingness to learn new tools and technologies
- Willingness to learn LaTeX and Git
- Interest in marketing topics
- Interest in retailing
Tasks
- Prepare teaching materials
- Prepare research presentations
- Prepare project reports
- Explore academic literature
- Synthesize key research insights
- Translate research findings into summaries
- Translate research findings into briefs
- Translate research findings into presentation materials
- Collect real-world data via web scraping
- Collect real-world data via APIs
- Collect real-world data via automated workflows
- Monitor data pipelines
- Ensure data quality for projects
- Document research datasets
- Organize research datasets
- Maintain research datasets
- Apply statistical methods
- Apply analytical methods
- Use Excel for analysis
- Use R for analysis
- Use Python for analysis
- Perform exploratory analyses
- Solve practical problems
- Undertake advanced analytical tasks
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- MS Office
- Python
- R
- ClickHouse
- BigQuery
- LaTeX
- Git
Benefits
More Vacation Days
- Six weeks vacation
Flexible Working
- Flexible working hours
Learning & Development
- Training opportunities
Healthcare & Fitness
- In-house medical officer
- Athletic activities
Additional Allowances
- Meal allowance
Corporate Discounts
- Employee discounts
Informal Culture
- Open, inclusive, family-friendly environment
Purpose-Driven Work
- Meaningful work
Not a perfect match?
- TU WienPart-timeOn-siteNot specifiedWienfrom 1,379.6 / month
- UNIQA
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Studentische:r Mitarbeiter:in Projektunterstützung Data & AI(m/w/x)
Part-timeWorking StudentOn-siteWienfrom 37,982.98 / year
Teaching and Research Assistant(m/w/x)
Synthesizing academic literature and preparing teaching materials for data science research. Ongoing bachelor's or master's studies with at least two semesters remaining required. Six weeks vacation, flexible working hours.
Requirements
- Ongoing bachelor's or master's studies
- At least two semesters remaining before graduation
- Strong academic performance
- Marketing, economics, information systems, data science, statistics, or related field
- Excellent command of German
- Excellent command of English
- Strong organizational skills
- Ability to structure tasks efficiently
- Proactive mindset
- Reliable and independent way of working
- Strong skills in summarizing academic literature
- Communicating research insights clearly
- Proficiency in MS Office
- Basic experience with Python or R
- Familiarity with analytical databases
- Familiarity with ClickHouse or BigQuery
- Familiarity with object storage or related data infrastructure
- Willingness to learn new tools and technologies
- Willingness to learn LaTeX and Git
- Interest in marketing topics
- Interest in retailing
Tasks
- Prepare teaching materials
- Prepare research presentations
- Prepare project reports
- Explore academic literature
- Synthesize key research insights
- Translate research findings into summaries
- Translate research findings into briefs
- Translate research findings into presentation materials
- Collect real-world data via web scraping
- Collect real-world data via APIs
- Collect real-world data via automated workflows
- Monitor data pipelines
- Ensure data quality for projects
- Document research datasets
- Organize research datasets
- Maintain research datasets
- Apply statistical methods
- Apply analytical methods
- Use Excel for analysis
- Use R for analysis
- Use Python for analysis
- Perform exploratory analyses
- Solve practical problems
- Undertake advanced analytical tasks
Education
- Currently in higher educationOR
- Bachelor's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- MS Office
- Python
- R
- ClickHouse
- BigQuery
- LaTeX
- Git
Benefits
More Vacation Days
- Six weeks vacation
Flexible Working
- Flexible working hours
Learning & Development
- Training opportunities
Healthcare & Fitness
- In-house medical officer
- Athletic activities
Additional Allowances
- Meal allowance
Corporate Discounts
- Employee discounts
Informal Culture
- Open, inclusive, family-friendly environment
Purpose-Driven Work
- Meaningful work
About the Company
Institute for Retailing & Data Science
Industry
Retail
Description
The Institute for Retailing & Data Science is part of one of Europe's largest and most modern business and economics universities.
Not a perfect match?
- TU Wien
Student Employee in research/administration(m/w/x)
Part-timeOn-siteNot specifiedWienfrom 1,379.6 / month - UNIQA
Data and AI project support(m/w/x)
Part-timeInternshipOn-siteWienfrom 37,982.98 / year - Daikin Airconditioning Central Europe
Junior Sales Planner(m/w/x)
Part-timeOn-siteJuniorWienfrom 30,800 / year - Austrian Power Grid AG
Berufspraktikum Energy System Data Engineer(m/w/x)
Part-timeInternshipOn-siteWienfrom 3,302.4 / month - UNIQA
Studentische:r Mitarbeiter:in Projektunterstützung Data & AI(m/w/x)
Part-timeWorking StudentOn-siteWienfrom 37,982.98 / year