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Staff AI/ML Data Scientist

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.

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.

Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/ 

 

Average salary estimate

$165000 / YEARLY (est.)
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$130000K
$200000K

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What You Should Know About Staff AI/ML Data Scientist, Press Ganey

Are you ready to elevate the human experience with data and AI? Press Ganey, a renowned leader in experience measurement and insights, is on the hunt for a Staff AI/ML Data Scientist to join our vibrant Chicago team. In this pivotal role, you'll dive into the exciting realms of large language models (LLMs) and Generative AI (GenAI), developing cutting-edge AI models that enhance interaction in chat interfaces. This opportunity will allow you to lead innovative data science initiatives, collaborating with engineers and product managers to create intelligent systems that truly resonate with users. Imagine the satisfaction of optimizing LLMs for better scalability and accuracy while mentoring junior scientists, sharing your expertise, and fostering a culture of continuous improvement. You'll engage in end-to-end model lifecycle management, ensuring adherence to the best practices in AI ethics and data security. This is a chance to make a meaningful difference in the industries we serve, transforming how companies understand the needs of their stakeholders. At Press Ganey, we champion our clients and work together to embrace change, all while doing the right thing. If you have a solid background in NLP, are proficient in Python, and have experience deploying AI models in production, we would love to hear from you. Join us in our mission to create insightful, high-quality experiences that bring lasting loyalty and satisfaction.

Frequently Asked Questions (FAQs) for Staff AI/ML Data Scientist Role at Press Ganey
What are the responsibilities of a Staff AI/ML Data Scientist at Press Ganey?

As a Staff AI/ML Data Scientist at Press Ganey, your responsibilities will include leading the research and optimization of large language models (LLMs) and Generative AI (GenAI) to enhance AI-driven user interactions. You will collaborate with multidisciplinary teams to design and implement AI chat interfaces, conduct experiments, manage the model lifecycle, and ensure ethical AI practices. Additionally, you will mentor junior data scientists and contribute to documentation and process improvements.

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What qualifications are necessary for a Staff AI/ML Data Scientist at Press Ganey?

To qualify as a Staff AI/ML Data Scientist at Press Ganey, you should have at least 5 years of experience in machine learning, particularly in NLP and generative AI. A Bachelor's degree in Computer Science, Data Science, or a related field is essential. Proven experience deploying AI models in production environments and strong problem-solving and communication skills will also be crucial for success in this role.

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What technical skills should a Staff AI/ML Data Scientist possess at Press Ganey?

A Staff AI/ML Data Scientist at Press Ganey must possess expertise in large language models, transformer architectures, and Generative AI. Strong knowledge of NLP methods, proficiency in Python with experience in libraries such as PyTorch or TensorFlow, and an understanding of MLOps principles are essential. Familiarity with cloud-based ML platforms and distributed data processing frameworks will be advantageous.

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How does Press Ganey foster a collaborative work environment for Staff AI/ML Data Scientists?

Press Ganey promotes a culture of collaboration by encouraging teamwork and strong relationships among team members. As a Staff AI/ML Data Scientist, you will work closely with engineers and product managers, share knowledge with junior data scientists, and contribute to creating innovative solutions. The company values feedback and recognizes the importance of each employee's role in enabling client success.

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What is the expected salary for a Staff AI/ML Data Scientist at Press Ganey?

The expected base salary for a Staff AI/ML Data Scientist at Press Ganey ranges from $130,000 to $200,000, depending on factors such as skills, experience, and education. In addition to a competitive benefits package, successful candidates may also be eligible for a discretionary bonus tied to performance, reflecting Press Ganey's commitment to rewarding their team members.

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Common Interview Questions for Staff AI/ML Data Scientist
Can you describe your experience with large language models?

When answering this question, be specific about the LLM projects you've worked on. Detail the frameworks you used and the results you achieved. Highlight how your work has contributed to enhanced user experiences, such as improved interaction or efficiency.

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What strategies do you use to evaluate model performance?

Discuss various evaluation metrics and techniques you employ, such as accuracy, precision, recall, and F1 score. Mention how you utilize feedback loops to fine-tune models and improve their performance over time.

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How do you ensure ethical AI practices in your projects?

Explain your approach to ethical AI, focusing on aspects like data privacy, transparency, and bias mitigation. Provide examples of how you've implemented these principles in your previous projects.

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Can you provide an example of a project where you led a cross-functional team?

Share a specific project where you collaborated with multiple disciplines, detailing your role and how you facilitated effective communication and collaboration to achieve project goals.

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What is your experience with Generative AI?

Detail your familiarity with Generative AI models, specifying the types of applications you've built or contributed to. Discuss any unique challenges you've faced and how you've addressed them.

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How do you approach mentoring junior data scientists?

Describe your mentoring style and give examples of how you have supported the growth of junior team members. Emphasize the importance of knowledge sharing and establishing best practices.

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What tools do you use for data processing and model deployment?

List the tools and frameworks you're proficient in, such as Apache Spark, TensorFlow, or cloud platforms like AWS. Explain how these tools have enhanced your workflow and efficiency in past projects.

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Can you explain your experience with chat-based interfaces?

Discuss specific projects where you developed or optimized chat interfaces, detailing the technologies used and the interactive features that enhanced user experience.

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What challenges have you faced in AI model deployment, and how did you overcome them?

Share a significant challenge related to deployment, such as scaling issues or response accuracy. Explain the steps you took to tackle these obstacles and the outcome of your efforts.

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Why do you want to work for Press Ganey as a Staff AI/ML Data Scientist?

Articulate your passion for the work Press Ganey does and how your goals align with their mission. Mention specific projects or values of the company that resonate with you, showcasing your enthusiasm for contributing to the team.

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Full-time, on-site
DATE POSTED
December 14, 2024

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