Data Scientist

Quantum Technologies LLC; Phoenix (AZ); On-site; USD 150,000 - 190,000; Full time

Job summary

Quantum Technologies. LLC seeks a senior Data Scientist to advance Agentic conversational AI for IVR platforms built on Amazon Connect and Lex.

You will lead experiments on intent recognition, slot filling, and dialogue quality, while analyzing data and guiding improvements in training data, prompts, and NLU assets. The role demands deep expertise in data science and ML with GenAI capabilities, strong communication, and the ability to deliver in a fast-paced, delivery-focused environment for

Qualifications

• 10+ Years of experience in Data Science, ML, NLP, or related field.
• 5+ Years building GenAI solutions.
• Strong hands-on analytics, experimentation, model evaluation, and performance tuning.
• Experience with conversational AI, NLU, chatbot, virtual assistant, or IVR use cases.
• Familiarity with Amazon Connect and Amazon Lex or similar platforms.
• Exposure to LLM/GenAI techniques relevant to intent understanding.
• Ability to ramp up quickly and contribute in delivery-focused environments.
• Strong written and verbal communication, with leadership-facing presentation skills.

Responsibilities

• Support end-to-end delivery of Agentic conversational AI capabilities for IVR solutions built on Amazon Connect and Lex.
• Run and interpret experiments on intent recognition, slot-filling, utterance handling, and conversational quality.
• Analyze interaction data, model outputs, and test results to identify issues and improvements.
• Tune intent descriptions, training data, prompts, and NLU assets to improve performance.
• Collaborate with onshore lead to refine slot-filling, conversation behavior, and priorities.
• Evaluate and implement GenAI capabilities for NLU and intent understanding.
• Summarize findings and recommendations for leadership and stakeholders.
• Identify risks and help drive delivery timelines with analytical rigor.

Skills

Data Science

Machine Learning

NLP

GenAI

Conversational AI

NLU

Amazon Connect

Amazon Lex

LLM Techniques

Delivery-minded

Tools

Amazon Connect

Amazon Lex

GenAI platforms

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Required Skills & Experience :

• 10+ Years of experience in Data Science, Machine Learning, NLP, or a Related Field.
• 5+ Years of Experience 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.

Key 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 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.