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

Partner with cross-functional groups across product, analytics, and engineering to develop and refine a shopping assistant chatbot
Design and improve prompt engineering strategies to raise the quality of chatbot interactions
Create LLM-based agents that link with APIs, databases, and external tools via function calling
Preserve chatbot reliability and mitigate hallucinations by employing model evaluation techniques
Leverage A/B testing frameworks to assess and progressively enhance chatbot performance
Put Responsible AI and compliance principles into practice to ensure ethical and regulatory alignment
Run exploratory data analysis to surface insights and draft structured requirements for the data engineering team
Guide cloud engineering teams on the infrastructure needs supporting AI-powered chatbot solutions

Requirements

A minimum of 7 years of applied professional experience in data science
No less than 2 years of experience in people management or team leadership, overseeing a team of 10 or more FTEs
Advanced expertise in LLMs, including practical work with OpenAI APIs on Azure
Strong Python skills for integrating and fine-tuning AI workflows
Hands-on background in building AI agents that leverage function calling to interact with external tools and databases
Working knowledge of hallucination prevention techniques for maintaining chatbot accuracy and reliability
Sound understanding of Responsible AI and compliance best practices, including ethical AI guidelines
Experience in Natural Language Processing (NLP) and Conversational AI development
English at B2 level or higher, with strong written and spoken communication abilities

Nice to have

Practical background in A/B testing and experimentation, working closely with analytics teams
Capability to design and implement a testing strategy driven by key performance metrics for chatbots
Confident use of exploratory data analysis (EDA) to draw insights from data
Skill in defining and conveying data requirements to the data engineering team
Familiarity with cloud services, either through hands-on experience or the ability to outline requirements for cloud engineering teams

We offer