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
EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.
