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Stimulating. Motivating. Challenging. NAGRA, a digital TV division of the Kudelski Group provides security and multiscreen user experience solutions for the monetization of digital media. The company offers content providers and DTV operators worldwide secure, open, integrated platforms and applications over broadcast, broadband and mobile platforms, enabling compelling and personalized viewing experiences. Location:   Cheseaux, Switzerland Mission As part of the Kudelski Group’s "Insight" initiative, we are developing data analytics products for major telecom operators around the world, powered by state-of-the-art machine learning and probabilistic algorithms. We are looking for a Data Scientist to help us transform raw data into actions and predictions so that our clients can effectively navigate their business. We work on a large spectrum of machine learning applications, including predictive maintenance, uplift prediction, and time series forecasting. Woud you like to join a nimble, focused and fast-moving division within a well-established company? We are a team of techies, data crunchers and business experts who want to make a difference in a fast-changing industry – get in touch! Responsibilities As a member of the team, you will build machine learning workflows to address a wide range of business questions. Your main responsibilities will be to: Apply statistical analysis and visualization techniques to gain actionable insights into large volumes of data from different sources Develop machine learning workflows Work closely with the engineering team and support them in the industrialization of the final workflow Occasionally travel to clients to discuss their data and business needs and to present project results Maintain and develop professional knowledge by attending and presenting at conferences, reading professional publications and testing state-of-the-art tools Requirements / Profile Here is the kind of profile we are looking for: 3+ years work experience Familiar with statistics and machine learning algorithms Experience in deep learning, econometrics, or causal inference is a bonus Curious about the business impact of their workGood Python programming skills, intimate with the Python data science stack Experience with relational databases and Big Data tools like Spark, Presto, Hive, etc. Knowledge of best practices for software development and data organization, and pleasure in working in an open source environment (Github is at the core of our workflow) Likes interacting with people, including clients, and can communicate well even to a non-technical audience Willingness to travel occasionally and assume a client-facing role Good spoken and written English, knowledge of French is a plus Swiss or EU resident Our team promotes integration and is committed to provide equal employment opportunity to all applicants