Lead Data Scientist

• Team up with multidisciplinary groups spanning product, analytics, and engineering to design and improve a shopping assistant chatbot
• Shape and fine-tune prompt engineering approaches to raise the quality of chatbot conversations
• Build LLM-driven agents that interface with APIs, databases, and external services via function calling
• Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
• Use A/B testing frameworks to assess and progressively elevate chatbot performance
• Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
• Carry out exploratory data analysis (EDA) to surface insights and convert them into well-defined requirements for the data engineering team
• Advise cloud engineering teams on the infrastructure requirements essential to AI-powered chatbot deployments

The ideal candidate brings a solid foundation in Natural Language Processing (NLP) and Conversational AI, along with hands-on experience in hallucination mitigation, Responsible AI and compliance, and data analytics., * No less than 5 years of hands-on professional experience in data science or applied AI positions

• At least 1 year of experience guiding and managing development teams
• Strong command of Large Language Models, including practical work with OpenAI APIs on Azure
• Advanced Python programming abilities for integrating, orchestrating, and refining AI workflows
• Track record of building AI agents that use function calling to engage with external tools and databases
• Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability
• Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards
• Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation
• Confident English communication skills at B2 level or above, in both writing and speech

Nice to have

• Practical background in A/B testing and experimentation, working closely alongside analytics teams
• Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions
• Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets
• Aptitude for producing clear, structured data specifications for the data engineering team
• Familiarity with cloud services, whether through direct hands-on work or by outlining infrastructure requirements for cloud engineering teams

• 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