Senior Data Scientist
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
- Partner with cross-functional teams across product, analytics, and engineering to build and enhance a shopping assistant chatbot
- Develop and refine prompt engineering strategies to elevate the quality of chatbot interactions
- Implement LLM-based agents that connect with APIs, databases, and external tools through function calling
- Safeguard chatbot reliability and prevent hallucinations by applying model evaluation techniques
- Leverage A/B testing frameworks to measure and continuously improve chatbot performance
- Apply Responsible AI and compliance principles to guarantee ethical practices and regulatory alignment
- Perform exploratory data analysis (EDA) to uncover insights and translate them into structured requirements for the data engineering team
- Guide cloud engineering teams on the infrastructure needs required for AI-powered chatbot solutions
Requirements
- At least 3 years of professional relevant experience in data science or applied AI roles
- Expertise in Large Language Models, including practical use of OpenAI APIs on Azure
- Strong Python programming skills for integrating, orchestrating, and optimizing AI workflows
- Experience developing AI agents leveraging function calling to interact with external tools and databases
- Solid knowledge of hallucination prevention techniques to maintain chatbot accuracy and reliability
- Strong understanding of Responsible AI and compliance best practices, including ethical AI guidelines
- Proven background in Natural Language Processing (NLP) and Conversational AI development
- Fluent English communication skills at a B2 level or higher, both written and verbal
Nice to have
- Hands-on experience with A/B testing and experimentation, collaborating closely with analytics teams
- Ability to define and implement a testing strategy using key performance metrics tailored to chatbot solutions
- Proficiency in exploratory data analysis (EDA) to extract meaningful insights from large datasets
- Capability to define clear and structured data requirements for the data engineering team
- Understanding of cloud services, either through direct hands-on experience or the ability to specify infrastructure requirements for cloud engineering teams
