Senior Data Scientist

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.

Responsibilities

• 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

Requirements

• 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

Nice to have

• 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

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• 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