Data Scientist

Responsibilities • Ability to work with large amounts of raw data and feel comfortable with working with different programming languages. • High intellectual curiosity with ability to develop new knowledge and skills and use new concepts, methods, digital systems and processes to improve performance. • Ability to provide input to user-story prioritization as appropriate based on new ideas, approaches, and strategies. • Collaborates with others (incl. virtual) to achieve goals. • Ability to understand the complexity of business and the role of data and information as an integrated part of the business. • Develop the business and deliver results. • Lead and develop people. • Knowledge of data set processes for data modeling, mining and production, as well as visualization tools including Tableau. • Knowledge of at least one building block of artificial intelligence. • Knowledge of machine learning development languages including R and/or Python and other developments in a fast moving data technology landscape e.g. Hive or Hadoop. • Knowledge of DevOps and agile development practices. • Exposure to development of industrialized analytical software products. • Passionate about the possibilities of data and its value for business. • Deeply motivated to continuously develop and enhance programming skills and knowledge of machine learning and AI applications. • Energized by working both independently and interdependently with the architecture network and cross functions. • Appreciate the mix of strategic thinking and turning architecture trends into practice. Qualifications • Proven training in computer engineering, computer science, econometrics, mathematics or equivalent. • Experience and knowledge of working with large datasets and distributed computing architectures. • Knowledge of coding in R and/or Python and development of artificial intelligence applications. • Experience in statistical analysis and statistical software. • Experience in data processing and analysis. • Experience in working in an Agile or DevOps working set-up. • Experience in software engineering. • Knowledge of Brand, culture, values and way of working. Required Skills • Knowledge of data set processes for data modeling, mining and production. • Knowledge of machine learning development languages including R and/or Python. • Knowledge of DevOps and agile development practices. Preferred Skills • Exposure to development of industrialized analytical software products. • Experience in statistical analysis and statistical software.