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.

Technical Skills

• Expertise in LLMs, Transformer-based architectures, and Generative AI models.
• Strong knowledge of NLP methods and frameworks, especially in conversational AI.
• Familiarity with agent-based architectures supporting autonomous decision-making and interactive user experiences.
• Proficiency in statistical modeling, hypothesis testing, and data analysis techniques to drive model insights and improvements.
• Strong Python skills, with experience in data science and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
• Understanding of data processing and ETL workflows; experience with distributed data processing frameworks like Apache Spark is a plus.
• Familiarity with cloud-based ML solutions (AWS, GCP, or Azure) for training, deployment, and monitoring.
• Knowledge of MLOps principles, with experience in model versioning, CI/CD, and workflow management tools (e.g., MLflow, Kubeflow, Airflow).
• Exposure to containerization and microservices.
• Familiriaty with Databricks is a plus.

Qualifications

• 5+ years of experience in machine learning, with a focus on NLP, generative AI, or agentic systems.
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience deploying AI models in production environments, especially within chat or agent frameworks.
• Demonstrated ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
• Strong problem-solving, analytical, and collaborative skills, with the ability to work independently and within a team.

Additional Information

Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state or local protected class.

Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

The expected base salary for this position ranges from $130,000 to $200,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.

All your information will be kept confidential according to EEO guidelines.

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