Job Description

Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group, which includes Lidl, Kaufland, Schwarz Produktion and PreZero, in more than 30 countries in Europe and the US. Schwarz IT Bulgaria cooperate with other international teams for a wide scope of responsibilities – from business consulting, software development and business operations to IT infrastructure and system platform management. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We are fast, efficient, flexible.

Take advantage of the opportunities to progress your career at the Sofia location.

The impact You will create:

• Develop complex data products that are integrated into our business processes and generate added business value
• Assess and process relevant data sources. Evaluate, implement and optimize suitable algorithms
• Utilize and build on of state-of-the-art data science techniques, e.g., classic machine learning or deep neural networks
• Integrate models into productive software and industrialize them (MLOps, DevOps)
• Work in interdisciplinary, agile project teams
• Present results to stakeholders

Experience and skills You will need:

• Ideally several years of professional experience as a machine learning engineer or data scientist
• Practical experience with forecasting and pricing use cases and common models (gradient boosting machine, neural networks, (S)ARIMA, Prophet)
• Very good knowledge in the application of machine learning, optimization and data mining methods (e.g., with Python, Spark)
• Ideally experience with distributed machine learning frameworks and model lifecycle management (e.g., MLFlow)
• Practical knowledge of development with Python and knowledge of the software development cycle (e.g., CI/CD, DevOps, testing)
• Knowledge of big data (SQL, Spark/Databricks) and cloud technologies (Azure, GCP)
• Experience with agile software development methods
• Ability to understand complex issues and scenarios, analyze them in detail and present the findings to a non-technical audience in an understandable way
• Very good knowledge of English (at least C1 level)