Senior Data Scientist

Your responsibilities:

Your Job

What you give your best for.

• Collaboration with business partners in the development of new approaches to achieving goals using state-of-the-art techniques and tools (including AI models, generative AI and/or applied statistics)
• Efficient communication of the analytical approach and of how the goals can be achieved through presentations, reports, or similar formats
• Advocacy and education about the value of data-driven decision-making, with a focus on the “how and why” of problem-solving—e.g., demonstrating the value using revenue KPIs or cost savings
• Leading analytical approaches and integrating the work into applications and tools together with data engineers, executives, analysts, and developers
• Creation of repeatable, interpretable, dynamic, and scalable analytical models that are seamlessly integrated into analytical data products (from data interfaces to fully integrated web front ends, for example)
• Development of functions to find new ways to combine different internal and external data sources
• Identification and development of long-term processes, frameworks, tools, methods, and standards

The knowledge I own:

Your Profile

What you should have.

• Academic background in data science, computer science, engineering, or statistics
• Proven skills in data science and strong knowledge of Python (especially PySpark), as well as experience writing complex SQL queries
• Mastery of machine learning to solve clustering, classification, regression, anomaly detection, simulation, and optimization problems using large datasets
• Demonstrated ability to combine diverse internal and external datasets and use them in a wide range of analyses and modelling tasks
• Experience with big-data technologies (preferably Azure and/or Databricks) and with data visualization tools, preferably e.g., Tableau

What is considered desirable

• Experience with retail data models and processes (especially in the areas of purchasing, marketing and/or planning)
• Experience with long-term analysis and demand/sales forecasting
• Experience with data science use cases in the supply chain or in finance
• Experience working with customer data from mixed systems

The offer that would convince me:

• Permanent contract with attractive compensation package
• High degree of personal responsibility and varied activities from day one
• International environment with colleagues from all over the world
• IT projects that set new standards in the retail industry