Senior Data Scientist - Conversational AI / NLU

Title: Senior Data Scientist - Conversational AI / NLU
Location: Boston, MA (Hybrid 3 days a week)
Duration: 6 months (possibility of an extension)
Implementation Partner: Infosys
End Client: To be disclosed 

JD:
 

• Support end-to-end delivery of Agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Amazon Lex
• Run and interpret experiments related to intent recognition, slot-filling performance, utterance handling, and overall conversational quality
• Perform hands-on analysis of interaction data, model outputs, and test results to identify issues and improvement opportunities
• Tune intent descriptions, training data, prompts, and related NLU assets to improve performance
• Work closely with the onshore lead to refine slot-filling approach, conversation behavior, and delivery priorities
• Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU and intent understanding
• Prepare clear summaries of findings, recommendations, and performance results for leadership and project stakeholders
• Help drive execution against delivery timelines by identifying risks, resolving issues, and maintaining strong analytical rigor
   

• 5+ years of experience in data science, machine learning, NLP, or a related field
• 2+ years of building GenAI solutions
• Strong hands-on experience with analytics, experimentation, model evaluation, and performance tuning
• Experience working on conversational AI, NLU, chatbot, virtual assistant, or IVR use cases
• Strong familiarity with Amazon Connect and Amazon Lex, or highly comparable experience with similar conversational AI platforms
• Exposure to LLM, GenAI, or modern NLP techniques relevant to intent understanding and conversational AI
• Ability to ramp up quickly and contribute immediate value in a delivery-oriented environment
• Strong written and verbal communication skills, including the ability to present work clearly to leadership and partner teams

• Experience tuning intent classification, slot-filling, fallback handling, or dialogue behavior in production environments
• Strong Python and data analysis skills for experimentation, reporting, and model evaluation
• Experience supporting prompt-based evaluation or LLM-assisted NLU workflows
• Experience working in cross-functional delivery teams with onshore/offshore collaboration models