> Markdown version of [/jobs/ext/3822213-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/3822213-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Fractal Analytics - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $110,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Training Data, Data Analysis, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Amazon Connect, Chatbots, Large Language Models, Model Validation, Agentic-AI, Amazon Lex, Natural Language Understanding - **Published:** October 18, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=7758fdb18274f0c1 ## About the Role * 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. ## Description * This is a hands-on, delivery-focused Senior Data Scientist role leading the design and development of advanced Agentic conversational AI solutions in the banking domain, with a primary focus on Connect AI Agents, Agentic Prompts, and intent/slot tuning built on Amazon Connect and Amazon Lex. * The role requires deep engagement with experimentation, data analysis, and NLU asset tuning to continuously improve conversational quality and intent/slot performance within established IVR solutions. * This is an execution-heavy position suited for someone who can ramp up quickly, contribute immediately, and operate with minimal oversight within an established delivery model. * Success in this role depends on strong analytical rigor, close collaboration with the onshore lead, and the ability to translate technical findings into clear recommendations for leadership and project stakeholders., * 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.