Job summary
Job post source
This job is directly from PG Forsta (Press Ganey)
Job overview
The Staff AI/ML Data Scientist role at PG Forsta focuses on leading advanced AI model development, particularly in large language models and generative AI, to enhance user experiences through intelligent chat interfaces and autonomous systems.
Responsibilities and impact
The role involves leading research and optimization of LLMs and GenAI models, collaborating with cross-functional teams to implement AI chat interfaces, managing model lifecycle from training to deployment, ensuring ethical AI practices, monitoring performance, documenting processes, and mentoring junior data scientists.
Compensation and benefits
The position offers a base salary range of $130,000 to $200,000, with additional discretionary bonuses or commissions, along with a competitive benefits package including health insurance and retirement plans.
Experience and skills
Candidates should have 5+ years in machine learning with expertise in NLP, generative AI, and agentic systems, strong Python and ML library skills, experience with cloud ML solutions, MLOps, and preferably familiarity with Databricks and distributed data processing.
Career development
The company promotes continuous learning and improvement, encouraging employees to contribute ideas and grow through collaboration and mentorship opportunities.
Work environment and culture
PG Forsta values collaboration, innovation, personal ownership, and diversity, fostering a supportive environment focused on human experience and client partnership.
Company information
PG Forsta, part of Press Ganey, is a leader in experience measurement and data analytics serving complex industries globally, with roots in U.S. healthcare and a mission to empower organizations through data-driven insights.
Team overview
The candidate will join a forward-thinking AI team working closely with machine learning engineers, product managers, and other interdisciplinary members to advance AI-driven interaction and automation.
Job location and travel
The position is based in Chicago or Boston, with no specific mention of remote work or travel requirements.
Unique job features
The job stands out by focusing on cutting-edge AI technologies like LLMs, generative AI, and agentic frameworks, offering opportunities to lead innovative projects in AI-powered chat and autonomous systems.
Company overview
PG Forsta is a leading provider of customer experience and market research technology solutions. They specialize in offering advanced survey and feedback tools that help businesses gather, analyze, and act on customer insights. The company generates revenue through subscription-based software services and customized research solutions. PG Forsta was formed through the merger of Confirmit and FocusVision, combining decades of expertise in data collection, analysis, and visualization. This strategic merger has positioned PG Forsta as a key player in the industry, known for its innovative approach to understanding and improving customer experiences.
How to land this job
Position your resume to highlight your expertise in large language models (LLMs), Generative AI, and agentic frameworks, emphasizing your experience in developing and deploying AI models in chat-based and autonomous systems.
Focus on showcasing your collaborative skills with interdisciplinary teams and your leadership in data science initiatives, as well as your proficiency with Python, PyTorch, TensorFlow, and cloud-based ML solutions like AWS or GCP.
Apply through multiple channels including PG Forsta's official corporate website and LinkedIn to maximize your application visibility and chances of being noticed.
Connect with current employees in PG Forsta's AI, machine learning, or data science divisions on LinkedIn; use ice breakers like commenting on recent AI projects they’ve shared or asking about their experience working on generative AI models within the company.
Optimize your resume for ATS by incorporating keywords such as 'LLMs,' 'Generative AI,' 'transformer architectures,' 'NLP,' 'chat interfaces,' 'MLOps,' and 'model deployment' to ensure it passes automated screenings effectively.
Leverage Jennie Johnson's Power Apply feature to automate tailored applications, identify the best platforms for submission, and discover LinkedIn contacts for networking, allowing you to focus your time on preparing for interviews and skill enhancement.
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