Data Science

"Drive impact with every data point." **Tasks** **Stakeholder collaboration and hypothesis development:** - Take part in regular exchanges with AOC stakeholders to identify relevant hypotheses for process mining - Identify relevant data sources with teams to enhance current data models and simulation tools **Process mining and data analysis:** - Analyze smart buffers in large datasets from Obelisk, integrating insights from additional data sources using Python - Preprocess large datasets for further usage in external simulation tools - Collaborate with AOC Operations Performance representatives to conduct root-cause analyses **Requirements definition and workflow automation:** - Define detailed requirements for RobustOps development - Enhance workflows with a focus on automation to streamline operations - Build and maintain knowledge management system **Requirements** **Education:** - A degree in Computer Science, Data Science, Business Informatics, or a related technical discipline. **Personality and working style:** - Strong analytical and problem-solving skills - Detail-oriented and structured approach - Excellent communication and collaboration skills for working with international teams - Proactive and innovative mindset for driving continuous improvement **Experience and expertise:** - Proven experience in data analysis, process mining, or related technical domains - Hands-on experience with Python - Familiarity with large-scale data systems like Obelisk. - Proficiency in creating data visualizations. Above average skills in PowerBI desired - General airline knowledge is required - Business English **Willingness to travel:** - Occasional travel (1-2 days per month) within Europe Burimi: https://al.linkedin.com/jobs/view/data-science-at-lufthansa-industry-solutions-4421559206

Niveli: mid level