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
