Posted time June 3, 2022 Location Remote, Switzerland Job type Full-time, Part-time

Our team creates noticeable added value for our company, the largest retail company, in the areas of promotions, pricing and marketing measurement. We cleverly combine classic statistical methods with machine learning. Are you eager to use your skills to actively help shape these topics with us? Then let us know!

Your responsibilities

  • Development of innovative data products / prototypes based on statistical methods / machine learning as part of agile interdisciplinary product teams
  • Structured transfer of business questions into data science solutions
  • Generation and communication of data-based findings and recommendations derived from them
  • Participation in the identification of data science use cases
  • Stay up to date with data science and big data trends and share this knowledge with our enthusiastic team

Your profile

  • Completed studies (Uni/ETH, FH, HF) in a discipline with a quantitative focus such as quantitative social sciences, natural sciences, mathematics or similar
  • At least five years of experience as a data scientist
  • German (business fluent) and English (business fluent)
  • At least two years of experience in one of the following areas: data-driven attribution, action planning, pricing, econometrics
  • At least five years of hands-on experience with machine learning processes and statistical methods and in dealing with large amounts of structured and unstructured data
  • Sound knowledge of the programming languages relevant to data science (especially Python) and SQL and ideally experience with cloud computing and in DevOps environments

Our benefits

  • Central place of work in the city of Zurich (Limmatplatz or Hardbrรผcke)
  • Mobile flexible working model: Hybrid work – flexibility in terms of time and space when fulfilling the function
  • Modern infrastructure: Diverse work zones and modern co-working spaces with advanced equipment
  • Social benefits: Attractive employment conditions with very good social benefits
  • Targeted promotion of our employees with targeted personnel development measures
  • Individual training