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comparis.ch is THE consumer empowerment platform in Switzerland. We compare prices and services of insurance companies, banks, telecom companies and online shops. With our marketplaces, we support users in the search and evaluation of real estate and vehicles. Our current tips and tricks on consumer topics offer users additional help in keeping track of the consumer jungle. So that we can continue to make consumers' lives even easier in the future, we are looking for a..

Senior Data Scientist / Machine Learning Engineer

#Aboutus

• You have the chance to join - and shape - the newly established and growing Data Team. We are a highly motivated team of diverse experts. Our main mission is to build data products (e.g. recommendations) in order to offer our users a highly relevant customer experience. Furthermore, our job is to provide everyone in the organization with the necessary tools and knowledge to come to better, more informed decisions. We work with agilemethods in interdisciplinary teams and highly value autonomy. This position can be filled in our Zurich office. Remote employment is possible as well, although some more frequent travel will be required in the beginning.

#Aboutthejob

• Planning and implementation of new data products, in close collaboration with our Data Product Owner, Product Managers and Data Engineers


• Development of statistical models for a variety of and ever increasing number of use cases (prediction / classification / recommendations / personalization) and getting them into production


• Monitoring, testing and optimization of models in production systems


• Optimization and expansion of our data/feature extraction pipeline in close collaboration with our Data Engineers


• Data mining for explorative analysis, including presentation of the results


• Coaching and enablement of members within our broader Data and Tech community on any Data Science/Machine Learning related topics


• ...room for own data / science projects

#Aboutyou

• Creativity and curiosity for data-driven innovation in an online environment and ability to apply data science to delight our users and solve business problems


• When you encounter a problem, you intuitively look for quantitative, mathematical ways to formulate it


• Minimum of 3 years on-the-job experience, preferably in an online environment. Experience with recommender systems is a strong plus


• Theoretical and hands-on statistics/machine learning know-how combined with experience in big data concepts and frameworks (Apache Spark, Kafka..)


• Practical experience with tools for statistical modeling (e.g. Python scikit-learn, SparkML). Experience with deep learning frameworks (e.g. Tensorflow, PyTorch) is a strong plus


• Significant experience in at least one programming language (Python, Scala, Java) across SQL and noSQL databases

Have we triggered your interest? If you are eager to be part of this amazing journey and want to have societal impact with your work, please submit your application (CV, cover letter) online. We are looking forward to your application. For better readability we have chosen the masculine form in person names, however, the information refers to members of all genders. The post will remain advertised until at least 8 January 2021. A first pre-selection will be completed by that date. Due to the Christmas and New Year period between publication and pre-selection, please do not expect to hear back from us before 8 January 2021. We thank you for your patience. Note for recruitment agencies: For this position we only consider direct applications. 



Online Bewerbung

Online Bewerbung

comparis.ch
Daniel Götze, HR Business Partner
Birmensdorferstrasse 108, 8003 Zürich

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