Data Scientist

Benefits: The opportunity to work in a fast-growing worldwide companyAttractive remuneration based on your experience, skills, and developmentThe opportunity to participate in international projects and significantly influence company IT developmentStable employment and social package (private medical care and other benefits)Extensive training in your area of responsibilityYour 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 customersPrepare, clean, and model structured and unstructured data and apply statistical methods and machine learning algorithmsEvaluate and select potential technologies and execute feasibility studies (PoC)Participate in design workshops for prototype development and contribute technical perspectives and experienceCollaborate closely in interdisciplinary teams with data analysts, data scientists, data engineers, product owners, designers, and software engineersYour profile: Completed studies in computer science, mathematics, physics, or a comparable educationExperience in the design, implementation, and maintenance of data-intensive applicationsKnowledge 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 PythonUse of cloud-based platforms, ideally AzureExperience with agile software development methods, ideally ScrumStrong conceptual and analytical skillsHigh degree of initiative and solution orientationFluent in English; Spanish is nice to have and German is a plus
#J-18808-Ljbffr