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Senior Data Scientist (m/f/d)

General information

Job Title
Senior Data Scientist (m/f/d)
Ref #
Job Area
Data Engineering
Job Type

Description & Requirements

PAYBACK is a top player in data-driven marketing worldwide. 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 you getting to know you.


  • 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 efficiently use 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 


  • 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 
  • Production-level Python programming skills applied through-out the full model lifecycle from inception to monitoring 
  • Experience with building REST APIs 
  • Ability to address, structure and analyze complex problems and questions 
  • Strong communication skills, persuasiveness, and proactivity  
  • For extra points:  
    • Knowledge of Docker and Microservices, familiarity with Kubernetes and / or experience with an MLOps framework (Kubeflow, Seldon, MLFlow, ...) 
    • Cloud Experience (Vertex AI, Sagemaker, Azure ML)


  • Grow like a Pro: Continue learning through individual professional development, grow with us to shape our future together
  • Tasty Breaks: Every visit to our ESSZIMMER tastes like like a short visit to Italy – also for vegetarians and vegans
  • Do it your way: In- house KINDERZIMMER, flexible working hours, 30 vacation days and up to 3 days working from home per week
  • Move it, move it: Our bonus program for your well-being - have fun in our 24/7 TURNHALLE and enjoy our goodies for your body and mind during our health weeks
  • Get Together: Meet and spend leisure time with colleagues – in our SPIELZIMMER at a Mystery Coffee, be part of our popular Social Days, ski events and seasonal highlights such as Christmas parties, summer parties and team events
  • Easy Going: Coming to the office is not only fun, but also affordable - we cover the costs of your "Deutschland-Ticket"