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 in Natural Language Processing (NLP)

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