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At the Mercedes-Benz Customer Assistance Center (CAC), we support customers across the globe. But behind the scenes, we are transforming into a data-first organization. We are looking for a Junior Data Scientist who doesn't just "do data," but builds intelligent systems. In this role, you won't just be analyzing the past; you will be building the future of customer interaction using LLMs, RAG architectures, and scalable data pipelines within the Microsoft Azure ecosystem.
Job Responsibility:
Design and build LLM-based solutions for information extraction, summarization, and conversational AI
Develop scalable data pipelines in Azure Databricks using PySpark and Spark SQL
Write clean, modular Python code and build shared libraries and reusable components
Use Copilot and other AI assistants to accelerate workflow while maintaining high standards for validation (Pydantic) and version control (Git/GitHub)
Act as a consultant to the business, explaining complex AI concepts to stakeholders and challenging requirements to ensure we solve the right problems
Requirements:
Deep understanding of embeddings, vector search, topic modeling, and RAG architectures
Experience with prompt engineering and orchestration frameworks (e.g., LangChain or LlamaIndex)
Proficiency in Azure Databricks, PySpark, and Spark SQL
Know how to ingest data from APIs, streams, and files into well-modeled data layers
Strong Python skills with an emphasis on modularity, Pydantic for data validation, and professional Git workflows
Comfortable working in an Agile or SAFe environment