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Press Ganey

Measures patient satisfaction in healthcare

Machine Learning Data Scientist 3 - Conversational AI

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • A master's degree in Computer Science, Artificial Intelligence, or a related field is required.
  • At least 5 years of professional experience in applied research and/or software engineering is required.
  • Proven experience in conversational AI or dialogue systems using generative AI methods such as retrieval-augmented generation, Deep Research Agents, Chain-of-Thought, or multi-agent architectures is required.
  • Proven experience with generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, or A2A is required.
  • A strong understanding of machine learning, natural language processing, and generative AI is required.
  • Excellent communication and cross-team collaboration skills are required.

Responsibilities

  • Design, develop, and evaluate conversational AI agents.
  • Work closely with AI scientists and machine learning engineers to imagine, design, and develop machine learning and generative AI products.
  • Leverage conversational AI experience to ensure alignment with current state-of-the-art best practices across the AI and machine learning team.
  • Work closely with the Responsible AI and Model Validation Center of Excellence to support the ethical development of AI agents.

Desired Qualifications

  • A PhD in Computer Science, Artificial Intelligence, or a related field is preferred.
  • Familiarity with data pipelines and ETL processes, and experience with distributed data frameworks such as Apache Spark or Databricks, are preferred.
  • Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP, is preferred.
  • Involvement in the conversational AI research community is preferred.

About the Company

Press Ganey

Measures patient satisfaction in healthcare

Press Ganey creates and distributes patient satisfaction surveys and related analytics to measure the patient experience in healthcare. Its core product is a standardized survey tool that hospitals use to collect patient feedback and benchmark results against similar organizations, supported by dashboards and analytics that turn responses into actionable insights. The company builds its value on a long history in healthcare data, with a large, shared dataset that allows hospitals to compare performance and identify areas for improvement. Compared with competitors, Press Ganey differentiates itself through a focused, large-scale repository of patient experience data and mature benchmarking capabilities that have grown through acquisitions to expand its data and analytics offerings. The company’s goal is to help healthcare providers understand and improve the patient experience, drive quality of care, and make data-driven decisions that enhance satisfaction and outcomes.

Company size
1,001-5,000
Company stage
Acquired
Total funding
$5.7M
Headquarters
South Bend, IN
Founded
1984

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