Data scientist til digital udvikling af Danmarks største social- og beskæftigelsesforvaltning

This role as a Data Scientist focuses on driving digital development within Denmark's largest social and employment administration. The position requires expertise in data science methodologies to analyze complex social and employment datasets, enabling informed decision-making and policy development. Key competencies likely include proficiency in programming languages commonly used in data science such as Python or R, along with experience in data manipulation, statistical analysis, and machine learning techniques. Familiarity with data visualization tools and frameworks is important to effectively communicate insights to stakeholders. Given the context of social and employment services, experience with large-scale administrative data, data privacy considerations, and ethical data handling is essential. The role demands strong analytical skills, problem-solving abilities, and the capacity to work collaboratively in cross-functional teams focused on digital transformation. While specific experience and education levels are not detailed, a background in data science, statistics, computer science, or related fields is implied. Overall, the position requires a data-driven mindset, technical proficiency in data science tools and methods, and an understanding of the social sector's unique data challenges to contribute to innovative digital solutions.