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INInstitute for Retailing & Data Science

Teaching and Research Assistant(m/w/x)

Wien
Part-timeOn-site
Data Science

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

  • GermanBusiness Fluent
  • EnglishBusiness 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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Institute for Retailing & Data Science and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.

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