Data Scientist

Ethereum Technologies LLC; Phoenix (AZ); Presencial; USD 180.000 - 260.000; Jornada completa

Descripción de la vacante

Ethereum Technologies in Phoenix seeks a senior expert in data science and GenAI to lead the development of conversational AI capabilities for IVR and chat workflows.

You will design experiments, evaluate models, and tune NLU assets using Amazon Connect/Lex, LLMs, and modern NLP techniques. Strong communication and delivery focus are essential to align with leadership and stakeholders.

Formación

• 10+ years in data science, ML, NLP or related field.
• 5+ years building GenAI solutions.
• Hands-on analytics, experimentation, model evaluation, tuning.
• Experience with conversational AI, NLU, chatbot, IVR.
• Familiar with Amazon Connect and Amazon Lex or equivalent.
• Exposure to LLM/GenAI / NLP for intent understanding.
• Ability to deliver value quickly in a delivery-focused environment.
• Strong written and verbal communication; present to leaders.

Responsabilidades

• Support end-to-end delivery of Agentic conversational AI on IVR with Amazon Connect/Lex.
• Run and interpret experiments on intent recognition, slot-filling, utterance handling.
• Analyze interaction data, model outputs, test results to identify issues.
• Tune intents, training data, prompts, and NLU assets to improve performance.
• Collaborate with onshore lead to refine slot-filling and conversation behavior.
• Contribute to evaluation/implementation of GenAI capabilities for NLU.
• Prepare summaries of findings and performance for leadership.
• Support timely delivery by identifying risks and maintaining rigor.

Conocimientos

Data science

GenAI experience

Analytics & evaluation

Conversational AI

Amazon Connect/Lex

LLM / GenAI techniques

Delivery mindset

Communication skills

Herramientas

Amazon Connect

Amazon Lex

Descripción del empleo

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.