Job description

Stimulating. Motivating. Challenging.

Nagravision, a division of the Kudelski Group, is the world leader in the creation and delivery of state-of-the-art technologies to secure the revenues of content owners and service providers for digital television and interactive applications across all network types. Nagra's solutions enable consumers to access content seamlessly over any device through a compelling viewing experience.

Location: Cheseaux, Switzerland

Mission

As part of the Kudelski Group's AI initiative Insight, we are developing a new generation of data-driven applications for leading telecom operators around the world. Our products are powered by the latest technologies in generative AI, machine learning, and cloud-native technologies.

We are looking for an experienced Data Scientist to help us transform raw data into predictions and actions so that our clients can effectively navigate their business. We are working on a wide range of data science problems, including price elasticity, modeling the uplift of marketing campaigns, predictive maintenance, and LLM-based customer assistance. The typical business impact of a project is in the tens of millions of dollars.

Ready to join a swift and focused team within an established corporation? We are a group of techies, data crunchers, and business experts, willing to drive change in a quickly changing industry – get in touch !

As a member of Insight, you will be responsible for driving the development of Machine Learning workflows for our products and clients.

You will get the chance to have an immediate impact on ongoing projects, get ample freedom to apply state of the art Machine Learning methods, and leverage the data from large telecom operators to build automated, personalized, and optimized action plans and data products.

Responsibilities

  • Develop predictive and prescriptive workflows using statistics and machine learning algorithms.
  • Work in a project team, and actively participate to the modeling, algorithms, and data processing choices.
  • Collaborate with the engineering team and support them in the industrialization of the final workflow.
  • Closely interface with business analysts in order to analyze and understand the business context in which our solution will be implemented, to make sure it solves a truly valuable problem.
  • Maintain and develop professional knowledge by attending and presenting at scientific and technical conferences, reading professional publications, and testing state-of-the-art tools.

Requirements / Profile

What We Need From You

Here is the type of profile we are looking for:

  • 3+ years of hands-on experience with commercial applications of machine learning
  • In-depth knowledge of statistics and machine learning algorithm
  • Curious and careful about the business impact of their work
  • Able to work collaboratively and proactively alongside scientists, engineers, and analysts
  • Experience in LLMs, generative AI, causal inference, uplift modeling, or econometrics is a bonus
  • Good Python programming skills, intimate with the Python data science stack
  • 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 and can communicate well even with a non-technical audience
  • Willingness to occasionally travel and assume a client-facing role
  • Good spoken and written English, knowledge of French is a plus

What you will get :

  • A small team, technically owning the whole solution from the data processing to the UI, where you will have many opportunities to grow your interests and develop new skills.
  • The chance to stay on top of evolving technologies by testing state-of-the-art tools, reading technical literature, and attending professional conferences.
  • A direct feedback culture, where you will be able to express your ideas, concerns, and be heard.
  • A flexible working environment.
  • A Mac laptop.

Reference: 14587

Publication Date: 21-03-2024

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