We are searching for a Chief Data Scientist with deep expertise in Large Language Models (LLMs) and Python to shape 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 prevention, Responsible AI and compliance, and data analysis.
Responsibilities
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Partner with cross-functional groups across product, analytics, and engineering to develop and refine a shopping assistant chatbot
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Design and improve prompt engineering strategies to raise the quality of chatbot interactions
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Create LLM-based agents that link with APIs, databases, and external tools via function calling
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Preserve chatbot reliability and mitigate hallucinations by employing model evaluation techniques
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Leverage A/B testing frameworks to assess and progressively enhance chatbot performance
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Put Responsible AI and compliance principles into practice to ensure ethical and regulatory alignment
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Run exploratory data analysis to surface insights and draft structured requirements for the data engineering team
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Guide cloud engineering teams on the infrastructure needs supporting AI-powered chatbot solutions
Requirements
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A minimum of 7 years of applied professional experience in data science
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No less than 2 years of experience in people management or team leadership, overseeing a team of 10 or more FTEs
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Advanced expertise in LLMs, including practical work with OpenAI APIs on Azure
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Strong Python skills for integrating and fine-tuning AI workflows
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Hands-on background in building AI agents that leverage function calling to interact with external tools and databases
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Working knowledge of hallucination prevention techniques for maintaining chatbot accuracy and reliability
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Sound understanding of Responsible AI and compliance best practices, including ethical AI guidelines
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Experience in Natural Language Processing (NLP) and Conversational AI development
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English at B2 level or higher, with strong written and spoken communication abilities
Nice to have
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Practical background in A/B testing and experimentation, working closely with analytics teams
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Capability to design and implement a testing strategy driven by key performance metrics for chatbots
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Confident use of exploratory data analysis (EDA) to draw insights from data
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Skill in defining and conveying data requirements to the data engineering team
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Familiarity with cloud services, either through hands-on experience or the ability to outline requirements 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.
