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
Build and maintain scalable batch and real-time ETL/ELT data pipelines using PySpark, SQL, Delta Lake, and Databricks tooling.
Design, deploy, and monitor AI-powered applications including Large Language Models and Agentic AI workflows on cloud or on-premises environments.
Lead technical discussions, mentor junior members, and translate complex data insights into business-friendly recommendations for stakeholders.
Minimum Requirements
Bachelor's Degree in Computer Science, IT, Data Science, Engineering, Mathematics, Statistics, or related field.
8+ years of experience in Data Science, Data Engineering, AI, or Analytics domains.
Strong programming skills in Python and SQL are mandatory along with experience in ETL/ELT development and workflow automation.
Experience with cloud platforms (Azure, AWS, or GCP) and container technologies like Docker; knowledge of AI & Generative AI frameworks including LLMs required.
Ideal Candidate Profile
Experienced in designing scalable data pipelines and deploying AI/ML solutions in enterprise environments with cloud and container orchestration.
Able to translate complex technical concepts into actionable business insights and lead diverse technical teams.
Strong expertise in AI/GenAI technologies, including advanced LLM implementation and Agentic AI application development, with strategic focus on data quality and governance.