Senior Data Scientist – AI, Data Engineering & Intelligent Automation
Core
Design and build scalable data pipelines, develop AI/GenAI applications using LLMs, and deliver data-driven insights to support business decision-making.
Role type
Senior IC data scientist (AI & Data Engineering)
Builds
Robust ETL/ELT pipelines, AI-powered applications, dashboards, and intelligent automation workflows
Domain
Enterprise technology, cloud infrastructure, and generative AI
Required skills
Python, SQL, PySpark, Azure Databricks, LLMs, RAG architectures, Docker, Kubernetes, statistical modeling, feature engineering, data governance
Preferred skills
Agentic AI frameworks, Model Context Protocol (MCP), prompt engineering, cloud solution architecture (via careerplan.io/jobs/744000153222443-senior-data-scientist-ai-data-engineering-intelligent-automation-at-bosch-group)
Technologies
PySpark, Delta Lake, Azure Data Factory, Apache Airflow, Great Expectations, Docker, Kubernetes, Power BI, Tableau, Claude, OpenAI
Responsibilities
Build and maintain batch and real-time ETL/ELT pipelines; design and develop AI applications using LLMs and Agentic AI workflows; create data visualizations and translate technical findings into business recommendations; enforce data governance and security policies; mentor junior team members and lead technical discussions
Seniority
Senior, hands-on IC
