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. ResponsibilitiesCollaborate with cross-disciplinary teams across product, analytics, and engineering to craft and enhance a shopping assistant chatbotDesign and iterate on prompt engineering techniques to lift the quality of chatbot dialoguesDevelop LLM-based agents that connect with APIs, databases, and third-party services through function callingEnsure chatbot stability and minimize hallucinations by employing thorough model evaluation practicesApply A/B testing frameworks to gauge and steadily boost chatbot effectivenessIntegrate Responsible AI and compliance foundations to secure ethical behavior and regulatory alignmentConduct exploratory data analysis (EDA) to reveal insights and translate them into precise specifications for the data engineering teamGuide cloud engineering teams on the infrastructure prerequisites needed for AI-driven chatbot rollouts RequirementsAt least 7 years of applied professional experience in data science or AI-focused rolesA minimum of 2 years of leadership and team management backgroundStrong mastery of Large Language Models, including working experience with OpenAI APIs on AzureAdvanced Python development skills for connecting, orchestrating, and enhancing AI workflowsProven history of creating AI agents that leverage function calling to interact with external systems and databasesSound understanding of hallucination mitigation techniques to keep chatbot outputs accurate and reliableClear grasp of Responsible AI and compliance principles, together with ethical AI guidelinesEstablished expertise in Natural Language Processing (NLP) and Conversational AI developmentStrong English communication abilities at B2 level or higher, in both written and spoken formats Nice to haveHands-on experience with A/B testing and experimentation, partnering closely with analytics teamsAbility to shape and put in place a testing framework built around key performance metrics tailored to chatbot solutionsCommand of exploratory data analysis (EDA) to extract meaningful patterns from large datasetsCapability to prepare clear, structured data requirements for the data engineering teamAwareness of cloud services, whether through direct hands-on involvement or by defining infrastructure needs for cloud engineering teams We offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedIn