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.

Responsibilities

Collaborate with cross-disciplinary teams across product, analytics, and engineering to craft and enhance a shopping assistant chatbot

Design and iterate on prompt engineering techniques to lift the quality of chatbot dialogues

Develop LLM-based agents that connect with APIs, databases, and third-party services through function calling

Ensure chatbot stability and minimize hallucinations by employing thorough model evaluation practices

Apply A/B testing frameworks to gauge and steadily boost chatbot effectiveness

Integrate Responsible AI and compliance foundations to secure ethical behavior and regulatory alignment

Conduct exploratory data analysis (EDA) to reveal insights and translate them into precise specifications for the data engineering team

Guide cloud engineering teams on the infrastructure prerequisites needed for AI-driven chatbot rollouts

Requirements

At least 7 years of applied professional experience in data science or AI-focused roles

A minimum of 2 years of leadership and team management background

Strong mastery of Large Language Models, including working experience with OpenAI APIs on Azure

Advanced Python development skills for connecting, orchestrating, and enhancing AI workflows

Proven history of creating AI agents that leverage function calling to interact with external systems and databases

Sound understanding of hallucination mitigation techniques to keep chatbot outputs accurate and reliable

Clear grasp of Responsible AI and compliance principles, together with ethical AI guidelines

Established expertise in Natural Language Processing (NLP) and Conversational AI development

Strong English communication abilities at B2 level or higher, in both written and spoken formats

Nice to have

Hands-on experience with A/B testing and experimentation, partnering closely with analytics teams

Ability to shape and put in place a testing framework built around key performance metrics tailored to chatbot solutions

Command of exploratory data analysis (EDA) to extract meaningful patterns from large datasets

Capability to prepare clear, structured data requirements for the data engineering team

Awareness of cloud services, whether through direct hands-on involvement or by defining infrastructure needs for cloud engineering teams

We offer

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