EPAM is a leading global 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 looking for a Lead Data Scientist with deep knowledge of Large Language Models (LLMs) and Python to create AI‑driven chatbot solutions for targeted use cases.

The idóneo candidate brings a solid foundation in Natural Language Processing (NLP) and Conversational AI, along with hands‑on experience in hallucination mitigation, Responsible AI and compliance, and data analytics.

Responsibilities
- Team up with multidisciplinary groups spanning product, analytics,



and engineering to design and improve a shopping assistant chatbot
- Shape and fine‑tune prompt engineering approaches to raise the quality of chatbot conversations
- Build LLM‑driven agents that interface with APIs, databases, and external services via function calling
- Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
- Use A/B testing frameworks to assess and progressively elevate chatbot performance
- Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
- Carry out exploratory data analysis (EDA) to surface insights and convert them into well‑defined requirements for the data engineering team
- Advise cloud engineering teams on the infrastructure requirements essential to AI‑powered chatbot deployments

Requirements
- No less than 5 years of hands‑on professional experience in data science or applied AI positions
- At

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