[Hiring] Lead Data Scientist @EPAM

Role Description

We are looking for a Lead Data Scientist with strong expertise in Large Language Models (LLMs) and Python to design AI-powered chatbot solutions for specialized use cases. The ideal candidate brings a solid foundation in Natural Language Processing (NLP) and Conversational AI, along with hands-on experience in hallucination prevention, Responsible AI and compliance, and data analysis.

• 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.
• Safeguard chatbot reliability and prevent hallucinations by applying model evaluation techniques.
• Use A/B testing frameworks to measure and steadily improve chatbot performance.
• Apply Responsible AI and compliance principles to secure ethical and regulatory alignment.
• 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.

Qualifications

• 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.

Requirements

• 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 engineering team.
• Awareness of cloud services, either through hands-on experience or the capability to specify requirements for cloud engineering teams.