We are looking for a Lead Data Scientistwith strong expertise in Large Language Models (LLMs) and Python to design AI-powered chatbot solutions for specialized use cases.

Responsibilities
- Team up with cross-functional groups spanning product, analytics, and engineering to build and refine a shopping assistant chatbot
- Craft and enhance prompt engineering strategies to elevate chatbot interactions
- Build LLM-based agents that connect with APIs, databases, and external tools through function calling
- Use A/B testing frameworks to measure and steadily improve chatbot performance
- Perform exploratory data analysis to uncover insights and prepare structured requirements for the data engineering team
- Advise cloud engineering teams on the infrastructure needs behind AI-powered chatbot solutions

Requirements:
- No less than 5 years of hands-on professional experience in data science
- At least 1 year of experience in people management or team leadership, covering a team of 5 or more FTEs
- Deep expertise in LLMs, including work with OpenAI APIs on Azure




- Strong Python capabilities for integrating and optimizing AI workflows
- Practical background in creating AI agents that use function calling to interact with external tools and databases
- Familiarity with hallucination prevention techniques for ensuring chatbot accuracy and reliability
- Solid grasp of Responsible AI and compliance best practices, including ethical AI guidelines
- Experience in Natural Language Processing (NLP) and Conversational AI development
- English at B2 level or higher, with strong written and spoken communication skills

Nice to have
- Applied experience with A/B testing and experimentation in close partnership with analytics teams
- Ability to shape and roll out a testing strategy that leverages key performance metrics for chatbots
- Proficiency in exploratory data analysis (EDA) to extract insights from data
- Skill in defining and communicating data requirements to the data engineeri

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