[Hiring] Senior Data Scientist @EPAM

Role Description

We are seeking a Senior Data Scientist with expertise in Large Language Models (LLMs) and Python to develop AI-powered chatbot solutions for specialized use cases. The ideal candidate has a strong background in Natural Language Processing (NLP) and Conversational AI, with experience in hallucination prevention, Responsible AI & compliance, and data analysis.

• Partner with cross-functional teams across product, analytics, and engineering to build and enhance a shopping assistant chatbot.
• Develop and refine prompt engineering strategies to elevate the quality of chatbot interactions.
• Implement 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.
• Leverage A/B testing frameworks to measure and continuously improve chatbot performance.
• Apply Responsible AI and compliance principles to guarantee ethical practices and regulatory alignment.
• Perform exploratory data analysis (EDA) to uncover insights and translate them into structured requirements for the data engineering team.
• Guide cloud engineering teams on the infrastructure needs required for AI-powered chatbot solutions.

Qualifications

• At least 3 years of professional relevant experience in data science or applied AI roles.
• Expertise in Large Language Models, including practical use of OpenAI APIs on Azure.
• Strong Python programming skills for integrating, orchestrating, and optimizing AI workflows.
• Experience developing AI agents leveraging function calling to interact with external tools and databases.
• Solid knowledge of hallucination prevention techniques to maintain chatbot accuracy and reliability.
• Strong understanding of Responsible AI and compliance best practices, including ethical AI guidelines.
• Proven background in Natural Language Processing (NLP) and Conversational AI development.
• Fluent English communication skills at a B2 level or higher, both written and verbal.

Requirements

• Hands-on experience with A/B testing and experimentation, collaborating closely with analytics teams.
• Ability to define and implement a testing strategy using key performance metrics tailored to chatbot solutions.
• Proficiency in exploratory data analysis (EDA) to extract meaningful insights from large datasets.
• Capability to define clear and structured data requirements for the data engineering team.
• Understanding of cloud services, either through direct hands-on experience or the ability to specify infrastructure requirements for cloud engineering teams.