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SOSonova AG

Intern - Data / Data Science(m/w/x)

Stäfa
Full-timeInternshipWith Home Office
AI/ML
Data Science

Preparing complex JSON datasets and building dashboards for hearing health research. Experience with R or Python and data analysis principles required. Flexible hybrid work, exceptional growth opportunities.

Requirements

  • Student or graduate in Data Science, Engineering, CS, or similar
  • Understanding of data cleaning and basic data science principles
  • Experience with R or Python
  • Interest in data analysis and visualisation
  • Curious mindset and eagerness to learn
  • English (working level)

Tasks

  • Clean and prepare complex datasets
  • Work with JSON-based datasets
  • Transform data into meaningful formats
  • Build dashboards and visual tools
  • Support researchers in extracting insights
  • Clean and structure large-scale study data
  • Convert JSON data to CSV format
  • Identify and resolve data inconsistencies
  • Address data gaps and quality issues
  • Analyse datasets from hearing aids
  • Analyse questionnaire data
  • Analyse environmental data
  • Support data exploration
  • Detect patterns in data
  • Identify anomalies in data
  • Collaborate with developers
  • Collaborate with researchers
  • Improve data usability

Education

  • Currently in higher educationOR
  • Bachelor's degree

Languages

  • EnglishBusiness Fluent

Tools & Technologies

  • R
  • Python

Benefits

Flexible Working

  • Flexible hybrid working model

Learning & Development

  • Training opportunities
  • Individual development plans

Career Advancement

  • Exceptional growth opportunities

Diverse Work

  • Meaningful data challenges

Other Benefits

  • Insights into medical data
  • Insights into AI-driven platforms
  • Insights into R&D processes
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Sonova AG 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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