EPAM is a leading integral provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

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 ideal 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 lead

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