Informacje o stanowisku

PAYBACK is the world’s leading multi-partner loyalty program. As an international player, we operate in German, Italian, Mexican, and Austrian markets. More than 10 million active customers already use the German PAYBACK app and mobile PAYBACK services via their smartphones.

PAYBACK is a top player in data-driven marketing. With the ability to develop digital business models and implement technical trends, we are one of the leading companies in the data economy.

All technical solutions of the PAYBACK program are developed, invented and implemented in Germany. Therefore, we provide the latest technologies and have cross-functional and agile teams.

You want to take responsibility and collaborate your ideas to our unique product? You are ambitious and eager to and move things further? Then you are exactly right with PAYBACK.

We are looking forward to getting to know you.

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?

Employment contract?

Of course. With us you do not have to worry about stable employment.

Great location

Still like! We invite you to our new office at Rondo Daszyńskiego metro station. Currently we also work from home.

‎Flexible working hours? ⏰

Sounds great! We start working between 8 to 10.

Working in a hybrid model?

Of course! You work with us 2 days a week from the office, 3 days a week from home

Friendly atmosphere at work?