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, alongside 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 least 1 year of experience guiding and managing development teams - Strong command of Large Language Models, including practical work with OpenAI APIs on Azure - Advanced Python programming abilities for integrating,



orchestrating, and refining AI workflows - Track record of building AI agents that use function calling to engage with external tools and databases - Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability - Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards - Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation - Confident English communication skills at B2 level or above, in both writing and speech Nice to have - Practical background in A/B testing and experimentation, working closely alongside analytics teams - Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions - Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets - Aptitude for producing clear, structured data specifications for the data engineering team - Familiarity with cloud services, whether through direct hands‑on work or by outlining infrastructure requirements for cloud engineering teams We offer - International projects with top brands - Work with global teams of highly skilled, diverse peers - Employee financial programs - Paid time off and sick leave - Upskilling, reskilling and certification courses - Unlimited access to the LinkedIn Learning library and 22,000+ courses - Global career opportunities - Volunteer and community involvement opportunities - EPAM Employee Groups - Award‑winning culture recognized by Glassdoor, Newsweek and LinkedIn

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