Job Description


Job Overview

  • Job ID:

    J55111

  • Job Title:

    Data Scientist

  • Location:

    Phoenix, AZ

  • Duration:

    12 Months + Extension

  • Domain Exposure:

    Aerospace/ Airlines

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

  • Work Authorization:

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

Job Title:Data Scientist

Location: Phoenix AZ 

Duration:12 months 

Bill Rate: $79/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

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.

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Equal Opportunity Employer

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.