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
- Knowledge of AI and data system architectures, including cloud-based solutions and APIs.
- Minimum of 2 years of experience working with AI and data science projects.
- A degree in Computer Science, Data Science, Business Informatics, or a related technical discipline.
- 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
- 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
- Occasional travel (1-2 days per month) within Europe