Back to SearchSenior Data Scientist
Remote in Argentina, & 14 others
Data Science& 8 others
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We are seeking a Senior Data Scientist with expertise in Large Language Models (LLMs) and Python to develop AI-powered chatbot solutions for specialized use cases.
The ideal candidate has a strong background in Natural Language Processing (NLP) and Conversational AI, with experience in hallucination prevention, Responsible AI & compliance, and data analysis.
Responsibilities
- Collaborate with cross-functional teams across product, analytics, and engineering to build and optimize a shopping assistant chatbot
- Develop and refine prompt engineering strategies to improve chatbot interactions
- Implement LLM-based agents that integrate with APIs, databases, and external tools through function calling
- Ensure chatbot reliability and hallucination prevention by applying model evaluation techniques
- Work with A/B testing frameworks to evaluate and continuously improve chatbot performance
- Apply Responsible AI and compliance principles to guarantee ethical and regulatory adherence
- Conduct exploratory data analysis to derive insights and create structured requirements for the data engineering team
- Guide cloud engineering teams on the infrastructure needs for AI-powered chatbot solutions
Requirements
- At least 3 years of professional relevant experience in data science
- Expertise in LLMs, including working with OpenAI APIs on Azure
- Strong Python skills for integrating and optimizing AI workflows
- Experience developing AI agents using function calling to interact with external tools and databases
- Knowledge of hallucination prevention techniques to ensure chatbot accuracy and reliability
- Solid understanding of Responsible AI and compliance best practices, including ethical AI guidelines
- Background in Natural Language Processing (NLP) and Conversational AI development
- English at B2 level or higher, with strong written and verbal communication skills
Nice to have
- Experience with A/B testing and experimentation, working closely with analytics teams
- Ability to define and implement a testing strategy using key performance metrics for chatbots
- Proficiency in exploratory data analysis (EDA) for uncovering insights from data
- Ability to define and communicate data requirements for the data engineering team
- Understanding of cloud services, either through hands-on experience or the ability to specify requirements for cloud engineering teams