Job Description

Our Data Science team enables the company to make data-driven decisions based on complex data. As an important team member, you‘ll improve our data product landscape by experimenting, deploying and testing innovative ideas to drive our business.

What you'll do

• Conduct experimentation and prototyping on new initiatives, setting the stage for subsequent Data projects.
• Develop, validate, and deploy machine learning models in Python to innovate and enhance processes and products (utilizing tools such as scikit-learn, TensorFlow, Keras, PyTorch, CatBoost, LightGBM).
• Guide stakeholders through discoveries and discussions in data-related fields.
• Perform complex data analysis and experimentation, providing actionable insights to business stakeholders, including leveraging GenAI.
• Collaborate with cross-functional teams, including Data Scientists, Data Engineers, Data Analysts, Product Managers, and Business Stakeholders.
• Drive continuous improvement by suggesting enhancements to team methodologies and technical tools.

What we expect from you

• A master’s degree or higher in a quantitative field, such as statistics, computer science, mathematics, engineering, or economics.
• Extensive experience in the end-to-end development of Data Science projects, particularly in the eCommerce sector.
• Proficient in SQL, Python, and possess strong data science fundamentals, including modeling, data structures, and visualization techniques.
• Knowledge of software development and related tools (e.g., Git, Docker, Azure, AWS).
• Familiarity with software development tools and environments (e.g., Git, Docker, Azure, AWS).
• A proactive, problem-solving, and analytical mindset with excellent communication skills in English.

What we offer

• Find an environment where you feel comfortable and can develop fully
• Find an environment where you feel comfortable and can develop fully
• Stay fit and healthy with our corporate memberships at exclusive fitness and wellness clubs in Germany
• Highly motivated colleagues and a thorough induction phase
• Individual training for your personal development
• Great employee discounts for your perfect style
• Attractive salary package and 30 days of vacation
• Hybrid working gives you a high degree of flexibility