Back to SearchChief Data Scientist
Remote in Argentina, & 14 others
Data Science& 8 others
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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