Lead Data Scientist
We are looking for a Lead Data Scientist with deep knowledge of Large Language Models (LLMs) and Python to create AI-driven chatbot solutions for targeted use cases.
The ideal candidate brings a solid foundation in Natural Language Processing (NLP) and Conversational AI, along with hands-on experience in hallucination mitigation, Responsible AI and compliance, and data analytics.
Responsibilities
- Team up with multidisciplinary groups spanning product, analytics, and engineering to design and improve a shopping assistant chatbot
- Shape and fine-tune prompt engineering approaches to raise the quality of chatbot conversations
- Build LLM-driven agents that interface with APIs, databases, and external services via function calling
- Protect chatbot dependability and reduce hallucinations by applying rigorous model evaluation methods
- Use A/B testing frameworks to assess and progressively elevate chatbot performance
- Embed Responsible AI and compliance principles to ensure ethical operation and regulatory conformity
- Carry out exploratory data analysis (EDA) to surface insights and convert them into well-defined requirements for the data engineering team
- Advise cloud engineering teams on the infrastructure requirements essential to AI-powered chatbot deployments
Requirements
- No less than 5 years of hands-on professional experience in data science or applied AI positions
- At least 1 year of experience guiding and managing development teams
- Strong command of Large Language Models, including practical work with OpenAI APIs on Azure
- Advanced Python programming abilities for integrating, orchestrating, and refining AI workflows
- Track record of building AI agents that use function calling to engage with external tools and databases
- Solid grasp of hallucination prevention methods to preserve chatbot precision and dependability
- Firm understanding of Responsible AI and compliance best practices, along with ethical AI standards
- Demonstrated experience in Natural Language Processing (NLP) and Conversational AI creation
- Confident English communication skills at B2 level or above, in both writing and speech
Nice to have
- Practical background in A/B testing and experimentation, working closely alongside analytics teams
- Skill in defining and executing a testing strategy grounded in key performance indicators specific to chatbot solutions
- Proficiency in exploratory data analysis (EDA) for drawing valuable insights from sizable datasets
- Aptitude for producing clear, structured data specifications for the data engineering team
- Familiarity with cloud services, whether through direct hands-on work or by outlining infrastructure requirements for cloud engineering teams
