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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.

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 ( Chicago or Boston ), Press Ganey

Are you an innovative thinker with a passion for artificial intelligence and machine learning? Press Ganey is on the lookout for a talented Staff AI/ML Data Scientist to join our vibrant teams in either Chicago or Boston! In this exciting role, you will dive deep into developing cutting-edge models, particularly in large language models (LLMs) and Generative AI (GenAI), directly enhancing user experiences through AI-driven chat interfaces. What makes this position truly appealing is the opportunity to lead potent data science initiatives while collaborating with a multidisciplinary team that values creativity and adaptability. Your expertise will shine as you take ownership of the end-to-end model lifecycle, from experimentation to deployment, ensuring rigorous evaluation of our advanced AI systems. At Press Ganey, our mission is to elevate human experiences across industries, and you will be at the forefront of shaping this mission through your contributions. With us, you'll experience a culture that emphasizes teamwork, innovation, and doing the right thing in all we do. If you’re ready to tackle the world of AI and make a tangible impact on businesses around the globe, we’d love to hear from you! Join us in our journey to reshape the future by leveraging the power of data and technology. Your next career adventure awaits you at Press Ganey—let’s create remarkable experiences together!

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

The Staff AI/ML Data Scientist at Press Ganey is primarily responsible for leading research and development initiatives focused on large language models (LLMs) and Generative AI (GenAI). This includes optimizing these models for better scalability and accuracy, collaborating with various teams to design AI-powered interfaces, conducting rigorous experimental evaluations, managing the entire model lifecycle, and ensuring adherence to best practices in data security and ethical AI.

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

To qualify for the Staff AI/ML Data Scientist position at Press Ganey, candidates should possess a bachelor's degree in a relevant field such as Computer Science or Data Science, along with a minimum of 5 years of experience in machine learning, specifically focusing on NLP, generative AI, or agentic systems. Familiarity with advanced AI frameworks and experience deploying AI models in production environments is essential for this role.

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How does Press Ganey support the growth of its Staff AI/ML Data Scientists?

Press Ganey is highly committed to the professional development of its Staff AI/ML Data Scientists. The company promotes a culture of continuous learning and improvement, allowing team members to mentor junior data scientists, provide technical guidance, and participate in initiatives that elevate the overall quality of data science practices within the organization.

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What technologies should a Staff AI/ML Data Scientist be familiar with at Press Ganey?

A Staff AI/ML Data Scientist at Press Ganey should be proficient in Python and familiar with data science and machine learning libraries such as PyTorch, TensorFlow, or scikit-learn. Additionally, knowledge of cloud-based ML solutions (AWS, GCP, Azure) and understanding MLOps principles will be beneficial in managing the lifecycle of AI models efficiently.

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What is the work culture like for a Staff AI/ML Data Scientist at Press Ganey?

The work culture for a Staff AI/ML Data Scientist at Press Ganey is characterized by collaboration, innovation, and a strong sense of purpose. Employees are encouraged to embrace change, champion client needs, and uphold ethical standards while working together to create solutions that enhance human experiences across industries.

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Common Interview Questions for Staff AI/ML Data Scientist ( Chicago or Boston )
Can you explain your experience with large language models and how it applies to Press Ganey's needs?

During your response, highlight specific projects where you successfully applied large language models, emphasizing algorithms you have implemented, performance results, and how your contributions can address Press Ganey's mission to enhance human experiences through intelligent systems.

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How do you ensure the ethical use of AI models in your work?

Explain your approach to ethical AI, including best practices such as bias detection and mitigation, transparency in model development, compliance with data privacy laws, and your commitment to incorporating stakeholder feedback in your AI solutions.

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What strategies do you use to evaluate AI models effectively?

Share specific evaluation techniques you employ, such as cross-validation, A/B testing, and performance metrics, while also discussing how you integrate user feedback to continuously improve model performance.

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Describe a challenge you faced while deploying an AI model and how you overcame it.

Use this opportunity to narrate a relevant experience, detailing the obstacles encountered during the deployment process, the strategies you employed to address these challenges, and the outcomes that followed. Focus on your problem-solving and collaboration skills.

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How do you prioritize tasks in a fast-paced AI development environment?

Discuss your methods for task prioritization, possibly mentioning frameworks like Agile or Scrum, and illustrate how you balance immediate project needs with long-term goals of the AI initiatives at Press Ganey.

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What role does collaboration play in your work as a data scientist?

Emphasize the importance of collaboration in data science, citing examples of projects where you worked with cross-functional teams, how such collaboration improved project outcomes, and how you plan to bring that collaborative spirit to Press Ganey.

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Can you provide an example of a time you mentored a junior data scientist?

Reflect on your mentoring experiences, highlighting how you guided a junior team member through a project, the skills you helped them develop, and the long-term impact of that mentorship on their career.

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How do you stay current with developments in AI and ML technology?

Mention your engagement in ongoing learning through courses, research papers, industry conferences, and community involvement, indicating your commitment to staying at the forefront of technological advancements in AI and machine learning.

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What experience do you have with cloud-based ML solutions?

Detail your exposure to cloud platforms such as AWS, GCP, or Azure, discussing specific services and tools you have utilized for training, deployment, and monitoring of AI models.

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

Articulate your interest in Press Ganey's mission and values, aligning your passion for AI and its potential to enhance human experiences with the company's goals, while also expressing your eagerness to contribute to meaningful projects.

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Full-time, on-site
DATE POSTED
January 11, 2025

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