Data Scientist

We are seeking an experienced Senior Data Scientist with strong expertise in Python, PySpark, advanced analytics, and agentic AI frameworks. The role focuses on building scalable, production-grade analytics and AI systems, leveraging LLMs, RAG architectures, and agent-based workflows to solve complex business problems and enhance decision intelligence.

Responsibilities

• Design, develop, and deploy machine learning and advanced analytics models at scaleAnalyze large, complex datasets using Python and PySpark in distributed environments
• Build end-to-end data and analytics pipelines, including data ingestion, feature engineering, model training, validation, and deployment
• Develop agentic AI solutions to automate workflows, orchestrate tasks, and augment human decision-making
• Apply statistical analysis, ML techniques, and pattern recognition to uncover insights and emerging patternsDesign and implement LLM-powered solutions, including:
• Retrieval-Augmented Generation (RAG) pipelines
• Vector databases and embedding-based retrieval
• Prompt orchestration and agent collaboration
• Build and maintain scalable systems, APIs, and microservices to support analytics and agent-based solutions in production
• Collaborate with business, product, and engineering teams to translate requirements into end-to-end AI and analytics workflows
• Monitor model and agent performance, conduct tuning, and ensure robustness, scalability, and maintainability
• Document models, agentic workflows, assumptions, and system designs for knowledge sharing and governance
• Stay current with advancements in data science, LLMs, and agentic AI frameworks