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
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Collaborate with cross-disciplinary teams across product, analytics, and engineering to craft and enhance a shopping assistant chatbot
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Design and iterate on prompt engineering techniques to lift the quality of chatbot dialogues
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Develop LLM-based agents that connect with APIs, databases, and third-party services through function calling
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Ensure chatbot stability and minimize hallucinations by employing thorough model evaluation practices
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Apply A/B testing frameworks to gauge and steadily boost chatbot effectiveness
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Integrate Responsible AI and compliance foundations to secure ethical behavior and regulatory alignment
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Conduct exploratory data analysis (EDA) to reveal insights and translate them into precise specifications for the data engineering team
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Guide cloud engineering teams on the infrastructure prerequisites needed for AI-driven chatbot rollouts
Requirements
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At least 7 years of applied professional experience in data science or AI-focused roles
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A minimum of 2 years of leadership and team management background
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Strong mastery of Large Language Models, including working experience with OpenAI APIs on Azure
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Advanced Python development skills for connecting, orchestrating, and enhancing AI workflows
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Proven history of creating AI agents that leverage function calling to interact with external systems and databases
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Sound understanding of hallucination mitigation techniques to keep chatbot outputs accurate and reliable
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Clear grasp of Responsible AI and compliance principles, together with ethical AI guidelines
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Established expertise in Natural Language Processing (NLP) and Conversational AI development
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Strong English communication abilities at B2 level or higher, in both written and spoken formats
Nice to have
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Hands-on experience with A/B testing and experimentation, partnering closely with analytics teams
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Ability to shape and put in place a testing framework built around key performance metrics tailored to chatbot solutions
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Command of exploratory data analysis (EDA) to extract meaningful patterns from large datasets
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Capability to prepare clear, structured data requirements for the data engineering team
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Awareness of cloud services, whether through direct hands-on involvement or by defining infrastructure needs for cloud engineering teams
We offer
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International projects with top brands
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Work with global teams of highly skilled, diverse peers
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Healthcare benefits
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Employee financial programs
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Paid time off and sick leave
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Upskilling, reskilling and certification courses
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Unlimited access to the LinkedIn Learning library and 22,000+ courses
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Global career opportunities
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Volunteer and community involvement opportunities
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EPAM Employee Groups
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Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn
