Data Scientist

Robotics Technologies; Phoenix (AZ); On-site; USD 90,000 - 128,000; Full time

Job summary

Robotics Technologies in Phoenix, AZ seeks a data scientist to lead end-to-end delivery of agentic conversational AI for IVR solutions. You will experiment with interaction data, evaluate models, and contribute to GenAI/NLP capabilities for intent understanding.

On-site, 12-month engagement. You will tune prompts and training data, produce leadership-ready summaries, and collaborate with the onshore lead to deliver value quickly.

Qualifications

• 10+ years of experience in Data Science, ML, NLP, or related field.
• 5+ years building GenAI solutions.
• Hands-on analytics, experimentation, model evaluation, and performance tuning.
• Experience supporting conversational AI, NLU, chatbots, or IVR use cases.
• Familiarity with Amazon Connect and Amazon Lex, or similar platforms.
• Exposure to LLM, GenAI, or modern NLP techniques related to intent understanding.
• Ability to ramp up quickly and deliver value in delivery-focused environments.
• Strong written and verbal communication, including presenting results to leadership.

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 conversational quality.
• Analyze interaction data, model outputs, and test results to identify issues and opportunities.
• Tune intent descriptions, training data, prompts, and related NLP assets to improve performance.
• Collaborate to refine the slot-filling approach and conversation behavior.
• Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU.
• Produce clear summaries of findings, recommendations, and performance results for leadership.
• Support delivery timelines by identifying risks and maintaining analytical rigor.

Skills

Data Science

Machine Learning

NLP

GenAI

Conversational AI

Experimentation

Model Evaluation

Tools

Amazon Connect

Amazon Lex

LLM

GenAI Tools

NLP Tooling

Job description

This Data Scientist role in Phoenix, AZ (onsite, 12-month engagement) supports end-to-end delivery of agentic conversational AI capabilities for IVR solutions. The work focuses on experimentation, analysis of interaction data, and contributions to LLM and GenAI capabilities for intent understanding and conversational quality.

Role 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.
• Conduct 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.
• Collaborate with the onshore lead to refine the slot-filling approach, conversation behavior, and delivery priorities.
• Contribute to evaluation and implementation of LLM- and GenAI-related capabilities for NLU and intent understanding.
• Produce clear summaries of findings, recommendations, and performance results for leadership and project stakeholders.
• Support execution against delivery timelines by identifying risks, resolving issues, and maintaining analytical rigor.

Required Qualifications

• 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 supporting conversational AI, NLU, chatbots, virtual assistants, 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 related to intent understanding and conversational AI.
• Ability to ramp up quickly and deliver immediate value in a delivery-focused environment.
• Strong written and verbal communication skills, including presenting results clearly to leadership and partner teams.

Technologies

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

Location and Employment Details

• Location: Phoenix, AZ (onsite)
• Duration: 12 months
• Salary: USD 79 per hour