726 offres d'emploi dans Product / Brand Management

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Machine Learning Engineer (w/m) 100%

 — Zürich
23.03.Employé100%

The NZZ is one of the largest private media companies in Switzerland. It focuses on high-quality, independent journalism and represents liberal perspectives. Its products offers its readers daily information and inspiration.

The Data Team is supporting the NZZ-Mediagroup in being a data-informed organization. As an Analytics Center of Competence our job is to provide everyone in our company with the necessary tools and knowledge to arrive at better and more informed decisions, contributing to the digital transformation. In close cooperation with our product management, marketing and editorial teams, we build «smart» data products (such as article recommendations and personalized email campaigns) to support internal and customer facing use-cases. We are a highly motivated and skilled team of data professionals (data analysts, data scientists, data engineers) working based on agile development methods and living the principles of an innovation culture, testing and advancing new ideas iteratively.
We are looking for an engaged and winning personality as:

Machine Learning Engineer (w/m) 100%

Your tasks:

  • Planning, implementation and adaption of data products, in close collaboration with the marketing, product management and editorial teams
  • Development of statistical models and getting them to production, including the automation via data pipelines or the exposure via APIs
  • Close collaboration with the data engineers for continuous optimization/extension of data pipelines
  • Conception and support in the execution and evaluation of experiment
  • Monitoring, testing, and optimization of models in production
  • Data mining for explorative analysis, including presentation of results

Your profile:

  • Master's degree in a quantitative discipline (Computer Science, Physics, ...)
  • 2 – 5 years of work experience
  • Theoretical and practical statistics and machine learning / data science know-how
  • Practical experience with tools for statistical modeling (e.g. Python scikit-learn, R statistical packages, or SparkML)
  • Significant software engineering knowledge and experience (e.g. Python, Scala, Java) and knowledge about design patterns
  • Practical experience with big data concepts and frameworks (e.g. Apache Spark, Kafka) cloud platforms (e.g. Google Cloud)

We offer:

* Challenging and interesting activities in a diverse task field with a high level of autonomy and the possibility to contribute to the digital transformation of one of the best-known media brands in the German speaking area
* Premium working environment: central location with offices «at Bellevue» in the heart of Zurich – with a view to the opera house and the lake – with a large selection of shopping opportunities and restaurants in walking distance
* Flexible working hours and home office is part of our culture

Your workplace

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Brigitte Mettler, HR Business Partner
+41 44 258 17 08