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Your responsibilities:

  • You develop and build Data Products with a Modelling component at PAYBACK together with internal stakeholders.
  • You work along the entire model life cycle guiding Data Products from conception to production.
  • In a team structure you develop models that are productively deployed.
  • You are responsible for the maintenance and the continuous improvement as well as for the monitoring of deployed models.
  • You use efficiently the available MLOps and Cloud Infrastructure.
  • Your goal is to improve the personalization of direct and digital Marketing campaigns, as well as PAYBACK’s own App.
  • You work in close cooperation with IT and Business in a product centric way.

Your Profile:

  • Successfully completed studies of Statistics, Mathematics, Computer Science or other related quantitative fields of study.
  • Relevant knowledge in Data Science, Statistics, Machine Learning and Deep Learning methods.
  • Used Python through-out the full model lifecycle from inception to monitoring.
  • Willing to upskill to production-level Python programming.
  • Experience with building REST APIs.
  • For extra points: Knowledge of Docker and Microservices, familiarity with Kubernetes and / or experience with an MLOps framework (Kubeflow, Seldon, MLFlow, ...).
  • For extra points: Cloud Experience (Vertex AI, Sagemaker, Azure ML).
  • Ability to address, structure and analyze complex problems and questions.
  • Strong communication skills, persuasiveness and proactivity.
  • Very good English language (please send CV in English).

How about?

Don't wait and send your CV!