Senior Data Scientist – AI, Data Engineering & Intelligent Automation
Robert Bosch GmbHMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, monitor, and maintain scalable batch and real-time ETL/ELT data pipelines using PySpark, SQL, Delta Lake, and Azure Databricks.
Develop and deploy AI-powered applications including Large Language Models, Agentic AI workflows, and enterprise knowledge solutions like RAG, ensuring cloud and on-premises scalability.
Lead technical architecture discussions, stakeholder management, and mentor junior team members to establish engineering best practices across data science, AI, and data engineering domains.
Minimum Requirements
Bachelor's degree in Computer Science, IT, Data Science, Engineering, Mathematics, Statistics, or related field (Master's preferred).
8+ years experience in Data Science, Data Engineering, AI, or Analytics domain.
Mandatory technical skills: Python, SQL, ETL/ELT development, data pipeline design, cloud platforms (Azure, AWS, or GCP), AI/Generative AI (including LLMs and related frameworks).
Not explicitly mentioned: Notice period or strict location requirements.
Ideal Candidate Profile
Experienced in architecting and deploying production-grade AI and data engineering solutions on cloud platforms with containerization and CI/CD.
Skilled in both advanced data science techniques and robust data engineering practices, comfortable leading cross-functional teams and engaging with business stakeholders.
Strong competency in applying AI frameworks such as Model Context Protocol, prompt engineering, and Retrieval-Augmented Generation for enterprise applications.