> Markdown version of [/jobs/ext/1507477-ml-data-scientist-iii](https://www.wearedevelopers.com/jobs/ext/1507477-ml-data-scientist-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# ML Data Scientist III

- **Company:** PRESS GANEY ASSOC INC
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Salary:** $100,000.0 - $140,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Extract Transform Load (ETL), Distributed Data Store, Machine Learning, Natural Language Processing, Software Engineering, Chatbots, Multi-Agent Systems, Apache Spark, Model Validation, Generative AI, Kubernetes, Information Technology, Deployment Automation, Text Analysis, Data Pipelines, Docker, Databricks
- **Published:** July 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=aca9f153726000a1

## About the Role

* 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 frameworks like Apache Spark or Databricks.
 * Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like Azure, AWS, or GCP.
 * Involvement in Conversational AI research community

## Description

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


## Related Videos

- [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai)
- [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source)
- [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads)
- [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems)

## Related Articles

- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j)