Staff AI/ML Data Scientist ( Chicago or Boston )

Company Description

PG Forsta 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:

To elevate the human experiences at the heart of business by offering insights that sharpen understanding of the needs of individuals and populations, and provide guidance on how to meet those needs.  

We partner clients to gather the voice of consumers and the workforce to gain insights that address unmet needs.  Through the use of integrated data, advanced analytics and strategic advisory services, we are helping clients transform their organizations to deliver high quality services and lifetime loyalty. 

Our Values:

Champion the Client

We demonstrate an unwavering passion for delivering high-quality solutions and service. We commit to understanding the goals and needs of our clients. We always look for opportunities to improve and create value. Each of us understands our role in enabling client success.

All Together Better

We are united by the common purpose of our vision and mission. We promote teamwork and a culture of belonging  by building strong relationships and fostering trust. We collaborate to identify and develop innovative solutions.

Embrace Change

We recognize that change is constant and presents opportunities to learn, adapt, and evolve.  We seek creative solutions to challenges and e pursue them with optimism and enthusiasm.

Do the Right Thing

We demonstrate commitment to all our stakeholders, including clients, staff, and partners. We take personal accountability for our responsibilities and actions. We do right by each other by acting with honesty and kindness. We provide meaningful recognition and feedback to others

Job Description

Press Ganey is seeking a Staff Data Scientist with expertise in large language models (LLMs), Generative AI (GenAI), and agentic frameworks to join our forward-thinking team. This role focuses on developing advanced AI models and deploying them in chat-based interfaces, creating intelligent, autonomous systems for seamless and impactful user experiences. The ideal candidate will lead data science initiatives, collaborate closely with interdisciplinary teams, and advance our capabilities in AI-driven interaction, personalization, and automation.

Duties & Responsibilities

• Lead the research, development, and optimization of LLMs and GenAI models, enhancing scalability, efficiency, and response accuracy.
• Collaborate with machine learning engineers, product managers, and other team members to design and implement AI-powered chat interfaces and autonomous agent frameworks.
• Develop experimental strategies to test new models and frameworks, perform rigorous evaluation, and improve user interaction and adaptability in chat applications.
• Conduct end-to-end model lifecycle management, from data processing and model training to deployment and maintenance.
• Ensure adherence to best practices in data security, privacy, and ethical AI, aligning model development with organizational values and compliance standards.
• Proactively monitor model performance, analyze results, and integrate feedback loops to support continuous learning and model refinement.
• Maintain comprehensive documentation on model methodologies, code implementations, data workflows, and deployment processes, promoting reproducibility and collaborative transparency.
• Mentor junior data scientists, provide technical guidance, and establish best practices to elevate data science quality across the team.