Chief Data Scientist

We are seeking a Chief Data Scientist with extensive expertise in Large Language Models (LLMs) and Python to develop AI-powered chatbot solutions for specialized use cases.

The ideal candidate offers a strong grounding in Natural Language Processing (NLP) and Conversational AI, together with practical experience in hallucination reduction, Responsible AI and compliance, and data analysis.

Responsibilities

• Collaborate with cross-disciplinary teams across product, analytics, and engineering to craft and enhance a shopping assistant chatbot
• Design and iterate on prompt engineering techniques to lift the quality of chatbot dialogues
• Develop LLM-based agents that connect with APIs, databases, and third-party services through function calling
• Ensure chatbot stability and minimize hallucinations by employing thorough model evaluation practices
• Apply A/B testing frameworks to gauge and steadily boost chatbot effectiveness
• Integrate Responsible AI and compliance foundations to secure ethical behavior and regulatory alignment
• Conduct exploratory data analysis (EDA) to reveal insights and translate them into precise specifications for the data engineering team
• Guide cloud engineering teams on the infrastructure prerequisites needed for AI-driven chatbot rollouts

Requirements

• At least 7 years of applied professional experience in data science or AI-focused roles
• A minimum of 2 years of leadership and team management background
• Strong mastery of Large Language Models, including working experience with OpenAI APIs on Azure
• Advanced Python development skills for connecting, orchestrating, and enhancing AI workflows
• Proven history of creating AI agents that leverage function calling to interact with external systems and databases
• Sound understanding of hallucination mitigation techniques to keep chatbot outputs accurate and reliable
• Clear grasp of Responsible AI and compliance principles, together with ethical AI guidelines
• Established expertise in Natural Language Processing (NLP) and Conversational AI development
• Strong English communication abilities at B2 level or higher, in both written and spoken formats

Nice to have

• Hands-on experience with A/B testing and experimentation, partnering closely with analytics teams
• Ability to shape and put in place a testing framework built around key performance metrics tailored to chatbot solutions
• Command of exploratory data analysis (EDA) to extract meaningful patterns from large datasets
• Capability to prepare clear, structured data requirements for the data engineering team
• Awareness of cloud services, whether through direct hands-on involvement or by defining infrastructure needs 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