Senior Data Scientist – AI, Data Engineering & Intelligent Automation
Robert Bosch GmbH (company site, opens in a new tab)8+ yrsBengaluruOn-siteDirect career pageEst. 28–45 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, monitor, and maintain scalable batch and real-time ETL/ELT pipelines using PySpark, SQL, and Delta Lake.
- Develop AI-powered applications including Large Language Models, Agentic AI workflows, and enterprise knowledge solutions with deployment across cloud and on-premises environments.
- Lead technical discussions, mentor junior team members, and translate complex data findings into actionable business insights and dashboards.
Minimum Requirements
- Bachelor's Degree (BE/BTech) in Computer Science, IT, Data Science, Engineering, Mathematics, or related field; Master's Degree preferred but not mandatory.
- Minimum 8 years of experience in Data Science, Data Engineering, AI, or Analytics domains with proven end-to-end solution delivery.
- Mandatory technical skills: Python, SQL, data engineering (ETL/ELT pipeline design), AI & Generative AI (LLMs, Agentic AI, RAG architectures), and cloud platforms (Azure, AWS, or GCP).
- Experience with data visualization tools (Power BI, Tableau, or equivalent) and containerization technologies (Docker); working knowledge of workflow orchestration tools (Databricks Workflows, Airflow, Azure Data Factory).
Ideal Candidate Profile
- Deep expertise in designing and implementing scalable data pipelines and AI-powered enterprise solutions using modern cloud and container technologies.
- Strong leadership skills demonstrated by mentoring, stakeholder management, and leading architecture discussions for complex technical projects.
- Experienced in integrating advanced analytics and generative AI techniques to drive business decision-making and innovation.