Senior Data Scientist

Fractal Analytics•New York, NY

7d•$110,000 - $140,000

About The Position

Fractal is seeking a hands-on, delivery-focused Senior Data Scientist to lead the design and development of advanced agentic conversational AI solutions in the banking domain. The role focuses on Connect AI Agents, Agentic Prompts, and intent and slot tuning built on Amazon Connect and Amazon Lex. It involves experimentation, data analysis, and NLU asset tuning to improve conversational quality and intent and slot performance in established IVR solutions. This execution-heavy position is suited to someone who can ramp up quickly, contribute immediately, and work with minimal oversight within an established delivery model. Success requires analytical rigor, close collaboration with the onshore lead, and the ability to turn technical findings into clear recommendations for leadership and project stakeholders.

Requirements

At least 5 years of experience in data science, machine learning, NLP, or a related field.
At least 2 years of experience building GenAI solutions.
Strong hands-on experience with analytics, experimentation, model evaluation, and performance tuning.
Experience with conversational AI, NLU, chatbot, virtual assistant, or IVR use cases.
Strong familiarity with Amazon Connect and Amazon Lex, or 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.

Nice To Haves

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.

Responsibilities

Support end-to-end delivery of agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Amazon Lex.
Run and interpret experiments involving intent recognition, slot-filling performance, utterance handling, and overall conversational quality.
Analyze 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 with the onshore lead to refine slot-filling approaches, conversation behavior, and delivery priorities.
Contribute to evaluating and implementing LLM- and GenAI-related capabilities for NLU and intent understanding.
Prepare clear summaries of findings, recommendations, and performance results for leadership and project stakeholders.
Support delivery timelines by identifying risks, resolving issues, and maintaining analytical rigor.