Senior Data Scientist

Fractal Analytics is hiring a hands-on Senior Data Scientist to deliver agentic conversational AI solutions for the banking domain.

Responsibilities

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

Requirements

• 5+ years of experience in data science, machine learning, NLP, or a related field
• 2+ years building GenAI solutions
• Strong hands-on background in analytics, experimentation, model evaluation, and performance tuning
• Experience in 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 presenting work clearly to leadership and partner teams

Technologies

• Amazon Connect
• Amazon Lex
• LLM
• GenAI
• NLP

Preferred Qualifications

• 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 in cross-functional delivery teams with onshore/offshore collaboration models

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Life insurance
• Disability plans
• Eligible for benefits on the first day of Employment with the Company
• Participate in the Company 401(k) Plan after 30 days of employment, in accordance with applicable plan terms
• 11 paid holidays
• 12 weeks of Parental Leave
• “free time” PTO policy
• Discretionary bonus for the current performance period (eligible)

Pay

• Wage range: $110,000 - $140,000 per year
• May be eligible for a discretionary bonus for the current performance period

Location: New York, NY (onsite)