We are seeking a Chief Data Scientist with extensive expertise in Large Language Models (LLMs) and Python to develop AI-powered chatbot solutions for specialized use cases.

The idóneo candidate offers a strong grounding in Natural Language Processing (NLP) and Conversational AI, together with practical experience in hallucination reduction, Responsible AI and compliance, and data analysis.

Responsibilities
- Collaborate with cross-disciplinary teams across product, analytics, and engineering to craft and enhance a shopping assistant chatbot
- Design and iterate on prompt engineering techniques to lift the quality of chatbot dialogues
- Develop LLM-based agents that connect with APIs, databases, and third-party services through function calling
- Ensure chatbot stability and minimize hallucinations by employing thorough model evaluation practices
- Apply A/B testing frameworks to gauge and steadily boost chatbot effectiveness
- Integrate Responsible AI and compliance foundations to secure ethical behavior and regulatory alignment
- Conduct exploratory data analysis (EDA)



to reveal insights and translate them into precise specifications for the data engineering team
- Guide cloud engineering teams on the infrastructure prerequisites needed for AI-driven chatbot rollouts

Requirements
- At least 7 years of applied professional experience in data science or AI-focused roles
- A minimum of 2 years of leadership and team management background
- Strong mastery of Large Language Models, including working experience with OpenAI APIs on Azure
- Advanced Python development skills for connecting, orchestrating, and enhancing AI workflows
- Proven history of creating AI agents that leverage function calling to interact with external systems and databases
- Sound understanding of hallucination mitigation techniques to keep chatbot outputs accurate and reliable
- Clear grasp of Responsible AI and compliance principles, together with ethical AI guidelines
- Established expertise i

📌 Chief Data Scientist (Argentina)
🏢 EPAM Systems
📍 Argentina