Data Scientist (m/f/x)- EN

Shape the future of B2B with us

• Acquire and prepare data from multiple internal sources (e.g., databases, APIs, tracking systems) for analytical and modelling purposes
• Perform exploratory and inferential data analysis to identify trends and support decision-making
• Apply statistical, machine learning, and rule-based techniques to solve real-world business problems
• Support product and business teams in designing and analysing A/B tests to evaluate feature impact and optimize outcomes
• Collaborate closely with stakeholders from product, engineering, and business to scope problems, communicate findings, and deliver measurable impact
• Take ownership of project-level analyses or modelling, contributing actively to internal peer reviews, validation processes, and team knowledge-sharing
  
  

What we offer

• The opportunity to actively shape the future of the online B2B business and build an European champion
• You can expect an established traditional company with the advantages of a dynamic start-up culture: flat hierarchies, relaxed, informal atmosphere and a great team spirit
• An agile and supportive environment where success is always a team effort
• Optimal work-life balance with 30 vacation days (plus Christmas Eve & New Year's Eve) and flexible working hours
• We believe in the best of both worlds: flexibility and collaboration. Thus, you'll enjoy the benefits of working from home while also experiencing the team spirit in our offices (approx. 50%)
• We promote your professional and personal skills with individual training opportunities (e.g. Visable Online-Academy & Trainings), regular feedback discussions and team-building measures
• Take advantage of our “Workation” offer and work where others spend their holiday
  
  

This is how you can impress us

• A bachelor's or master's degree in data science, computer Science, statistics, or a closely related field
• 3+ years of hands-on experience in applied data science roles, working closely with business stakeholders
• Proven experience acquiring and preparing data from various internal sources (e.g., business applications, user interaction logs, and core platform databases)
• Solid experience applying machine learning, statistical analysis, exploratory techniques, visualizations, and methods for causal inference to solve business problems
• Proficiency in Python and SQL, and strong working knowledge of common data science libraries and tools such as pandas, scikit-learn, matplotlib, seaborn, SHAP, statsmodels and Jupyter notebooks, etc.
• Proven experience designing, conducting, and analysing A/B tests in collaboration with product or business teams
• Strong communication skills, with the ability to clearly convey insights, methods, and trade-offs to technical and non-technical audiences
• Excellent communication skills in English, both written and verbal. Knowledge of German is a plus
• Nice to have: Experience with GitHub CI/CD pipelines, the AWS stack (e.g., Redshift, ECS), large language models (LLMs), building ETL workflows, or using orchestration tools like Airflow