ML Data Scientist III

Company Description

Press Ganey is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.

Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

Our Mission:

We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. 

Our Values:

To put Human Experience at the heart of organizations so every person can be seen and understood. 

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. 

• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. 

• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. 

• Dare to innovate: We challenge the status quo with creativity and innovation as our true north. 

• Better together: We check our egos at the door. We work together, so we win together. 

Press Ganey is committed to providing reasonable accommodations to qualified individuals with disabilities or disabled veterans in the hiring process. If you need assistance or an accommodation to apply for a position online or for your interviews or assessments, please contact us at acommodations@pressganey.com Please provide your contact information and the details of your request so we can best assist you.

Press Ganey is looking for a passionate and entrepreneurial Machine Learning Data Scientist III – Conversational AI to join our AI Solutions team. The AI Solutions team is focused on developing and supporting the latest AI innovations in experience intelligence from agentic text analytics to conversational interfaces to data.  

 
You will 

• Design, Develop, and evaluate Conversational AI Agents 

• Work closely with AI Scientists and ML Engineers to imagine, design, and develop various Machine Learning and Generative AI products 

• Leverage your Conversational AI experience to ensure alignment with current State-of-the-Art best practices throughout AI & Machine Learning team 

• Work closely with Responsible AI & Model Validation Center of Excellence to support ethical development of AI Agents 

You have 

• Master's degree in Computer Science, Artificial Intelligence, or related field 

• 5+ years of professional experience in Applied Research and/or Software Engineering 

• Proven experience in Conversational AI / Dialogue Systems using Generative AI methods such as RAG, Deep Research Agents, Chain-of-Thought, Multi-agent architectures, etc. 

• Proven experience with Generative AI toolkits and standards such as LangChain, LangGraph, MCP, ADK, A2A, etc. 

• Strong understanding of Machine Learning, NLP, and Generative AI 

• Excellent communication and cross-team collaboration skills 

Preferred Qualifications 

• PhD in Computer Science, Artificial Intelligence, or related field 

• Familiarity with data pipelines, ETL processes, and experience with distributed data framewo