Senior Data Scientist – AI, Data Engineering & Intelligent Automation
Bosch (Robert Bosch LLC)Match Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, monitor, and maintain scalable ETL/ELT pipelines and data workflows using PySpark, SQL, Azure Databricks, and related technologies.
Develop AI-powered applications including Large Language Model integrations, Agentic AI workflows, and Retrieval-Augmented Generation solutions for enterprise use cases.
Lead technical architecture discussions, collaborate with stakeholders, and mentor junior team members to ensure delivery of end-to-end AI and data engineering solutions.
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.
Proficiency in Python, SQL, PySpark, and experience with cloud platforms such as Azure, AWS, or GCP.
Experience with AI and Generative AI frameworks including Large Language Models and related deployment technologies.
Ideal Candidate Profile
Experienced in designing and deploying production-grade data pipelines and AI applications in cloud or hybrid environments.
Strong technical leadership skills including stakeholder management and mentoring of junior members.
Hands-on expertise in advanced data engineering, analytics, and state-of-the-art AI/GenAI technologies within large, complex enterprise settings.