Please refer to JobSuchmaschine in your application
Duration: starting immediately
To strengthen our team of 7 we are currently seeking a well-rounded Data Scientist with quant knowledge who can contribute to all aspects of our growth: Quant Excellence, People Leadership, Project Management.
You will be expected to work in the research, development, and delivery of machine learning algorithms and applications such as marketing analytics, operations intelligence and quantitative decision-support tools and services. Typical projects include the full data science lifecycle, including data extraction from transactional sources and transformation for analytical purpose. You will work with large datasets and extensive timeseries such as financial market data, transactions data and client interaction profiles, employing various statistical and numerical methods to analyse both structured and unstructured data as a means to develop predictive models. As our technology is generally delivered as packaged software or as a service in the cloud, it is important that you are familiar with the software development life-cycle. Assistance in the marketing of our offerings and consulting to clients is also a part of the job description. You are therefore expected to possess strong communication skills in addition to excellent technical capabilities.
To be a successful candidate, you must fulfil the following requirements:
University degree in computer science or engineering
Substantial experience in applying modern big data and data science tools such as Python, R, scikit-learn, tensorflow, Apache Spark
Well founded in statistics, data science methods and algorithms
Knowledge of multiple programming languages is beneficial (Python, R, Matlab)
Knowledge of datastores (SQL or NoSQL)
Passion for applying technology to solve business problems
Eligible to live and work in Switzerland
Strong communication skills in English and fluency in German is a must
Successful project delivery experience
Strong communication skills and the ability to make coherent technical arguments