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**

- Strong experience with Generative AI and Large Language Models (LLMs).
- Hands-on experience with RAG (Retrieval-Augmented Generation) architectures.
- Experience building AI agents and multi-agent workflows.
- Proficiency in Python and API development (e.g., FastAPI).
- Experience with LangChain, LangGraph, or similar AI orchestration frameworks.
- Familiarity with vector databases and semantic search solutions. E
- Experience with Azure AI Foundry, Azure OpenAI, and GCP Vertex AI.
- A degree in Computer Science, Data Science, Business Informatics, or a related technical discipline.
- Detail-oriented and structured approach.
- Business English.