Kudelski
Cheseaux-sur-Lausanne, VD, Switzerland
04/11/2019
Full time
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