We are looking for a Data Scientist with strong experience in data analytics, SQL, Databricks, and Data Analyst- With practical exposure to Generative AI and Agentic AI solutions.The candidate will work closely with business stakeholders, Data Engineers, Data Scientists, and AI/technical teams to understand business requirements, analyze and validate data, and support data and AI solution delivery.Key Responsibilities :- Analyze business requirements and translate them into transparent functional and data requirements.- Perform hands-on data analysis using SQL and Databricks, including data validation, profiling, and troubleshooting.- Work with Databricks notebooks, tables, queries, and analytical datasets.- Support data modeling and identify relevant data sources for analytics and AI use cases.- Work with data governance concepts such as Unity Catalog, metadata, lineage, permissions, and trusted datasets.- Collaborate with Data Scientists, Data Engineers, and AI Engineers on Data Science, GenAI, and Agentic AI use cases.- Understand and work with concepts such as LLMs, RAG, embeddings, vector search, prompt engineering, AI agents, tool/function calling, APIs, and agent workflows.- Understand how enterprise data is retrieved, validated, governed, and consumed by AI solutions.- Support UAT and solution validation for data, analytics,



and AI solutions.- Validate AI outputs for accuracy, relevance, grounding, and potential data issues.- Identify data quality issues and help troubleshoot discrepancies in analytical or AI outputs.- Participate in Agile delivery activities including backlog refinement, sprint planning, requirements clarification, and defect management.- Work effectively with both business and technical stakeholders.Preferred candidate profile :- 4-9 years of experience in Data Engineer and Data Scientist, Business/Data Analysis, or a related role.- Strong hands-on SQL and data analysis skills.- Experience working with Databricks or a similar modern data platform.- Good understanding of data modeling, data quality, validation, and data relationships.- Experience gathering and documenting business/functional requirements.- Understanding of Data Science concepts and experience working with or alongside Data Science teams.- Practical experience or strong working knowledge of Generative AI / LLM-based solutions.- Exposure to Agentic AI / AI Agent solutions and an understanding of how they work with enterprise data.- Understanding of RAG, embeddings, vector search, tool/function calling, APIs, and AI agent workflows.- Experience with UAT, Agile methodologies, and stakeholder communication (ref:hirist.tech)

📌 Celebal Technologies - Data Scientist (India)
🏢 CELEBAL TECHNOLOGIES PRIVATE
📍 India