What we offer:

• The opportunity to work in the fast growing worldwide company
• Attractive remuneration based on your experience, skills and development
• The opportunity to participate in the international projects and a significant influence on company IT development
• Stable employment and social package (private medical care and other benefits)
• Extensive trainings in your area of responsibility

Tasks and Qualifications:

Your role: 

• Design and develop digital solutions in the area of data analytics and machine learning to derive added value from large volumes of data for our internal and external customers
• Prepare, clean and model structured and unstructured data and apply statistical methods and machine learning algorithms
• Evaluate and select potential technologies and execute feasibility studies (PoC)
• Participate in design workshops for prototype development and contribute technical perspectives and experience
• Collaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, product owners, designers, and software engineers  

Your profile:

• Completed studies in computer science, mathematics, physics, or a comparable education
• Experience in design, implementation, and maintenance of data-intensive applications
• Knowledge and experience in several of the following areas:
  • Application of methods of data analysis and artificial intelligence (statistics, machine learning, deep learning)
  • Development with Python and the corresponding data science stack (esp. Pandas, NumPy, SciKit-Learn)
  • Visualization of complex interrelationships with Power BI and Python (esp. Plotly, Matplotlib, Seaborn)
  • Data modeling and data management, databases and database queries (e. g. SQL and NoSQL)
  • Distributed systems and common big data technologies (Hadoop/data lakes, Spark/Databricks).
  • Development of data pipelines with Java or Python
  • Use of cloud-based platforms, ideally Azure
• Experience with agile software development methods, ideally Scrum
• Strong conceptual and analytical skills
• High degree of initiative and solution orientation
• Fluent in English, Spanish is nice to have and German is a plus