Data Scientist

Data Scientist - - - - - - - - - - - - MISSION: The GenAI Data Scientist designs, builds, evaluates, and deploys Generative AI solutions, with strong focus on GenAI agents and agentic workflows. He/she is responsible for: * Understanding business needs and converting them into GenAI agent use cases * Building GenAI agents using LangGraph or similar agentic frameworks * Designing workflows with tool calling, routing, memory, state management, guardrails, and human escalation * Connecting agents with enterprise data, APIs, databases, applications, and automation tools * Building and optimizing RAG knowledge stores when knowledge retrieval is required * Developing clean, modular, scalable, and deployment-ready Python code * Evaluating agents for accuracy, reliability, hallucination risk, latency, cost, and user experience * Working with data, platform, and software engineering teams to move GenAI solutions to production KEY EXPECTED ACHIEVEMENTS: * Business need is translated into a clear GenAI agent solution * Agent architecture, workflow, tools, memory, prompts, and guardrails are designed and documented * Agentic workflows are built, tested, and optimized using LangGraph or similar frameworks * RAG knowledge stores are implemented and optimized when required * Python code is modular, testable, maintainable, and production-ready * The solution is deployed with logging, monitoring, error handling, access control, and cost control * Results, limitations, risks, and usage guidelines are clearly presented to business and technical stakeholders * Source code, prompts, configuration, and documentation are delivered * Peer reviews are organized to ensure quality, scalability, and reliability