Principal Scientist, Commercial Analytics

Aortic stenosis impacts millions of people globally, yet it oftenremainsunder-diagnosed and under-treated. Edwards’ groundbreaking work in transcatheter aortic heart valve replacement (TAVR) pioneered an innovative, life-changing solution for patients by offering heart valve replacement without the need for open heart surgery. Our Transcatheter Heart Valve (THV) business unit continues to partner with cardiologists and clinical teams to transform patient care with devices supported by clinical evidence.

It’sour driving force to help patients live longer and healthier lives. Join us and be part of our inspiring journey.

The Principal Data Scientist – Commercial Analytics will build predictive models and advanced analytics that sharpen commercial insight, improve forecasting accuracy, and support earnings preparation across the TAVR business. This role provides deep expertise in predictive modeling, advanced analytics, and ML/LLM-enabled automation. The incumbent will develop and maintain reproducible models, integrate CRM and external data sources, and translate complex analyses into clear, business-ready recommendations for Strategy, Finance, and Executive Leadership.

The ideal candidate combines advanced technical skills in Python and predictive modeling with strong business acumen, excellent communication, and deep curiosity.

This role will be hybrid based out of our Irvine, CA office.

How you’ll make an impact:

• Develop and maintain predictive models for pipeline conversion, case-volume forecasting, account growth signals, and market dynamics, ensuring high accuracy and reliability.
• Integrate internal Salesforce data with external datasets to identify leading indicators and performance drivers, enhancing commercial intelligence.
• Create clear, business-ready insights and visualizations for Strategy, Finance, and ELT reviews, turning statistical results into actionable recommendations.
• Partner with the AI Engineer on ML/LLM-enabled automation and signal detection, leveraging cutting-edge techniques to optimize workflows.
• Establish analytical standards, including model validation, reproducibility, and documentation practices to ensure robustness and scalability.

What you’ll need (Required):

• Bachelor’s Degree in Computer Science, Engineering, Biostatistics, or other scientific field with 6 years of experience including either industry or industry/education or
• Master’s Degree in Computer Science, Engineering, Biostatistics, or other scientific field with 5years of experience including either industry or industry/education or
• Ph.D. in Computer Science, Engineering, Biostatistics, or other scientific field with 2 years of experience including either industry or industry/education

What else we look for (Preferred):

• Strong proficiency in Python, predictive modeling, time-series forecasting, causal inference, and feature engineering.
• Comfortable working with messy CRM and commercial datasets (e.g., Salesforce) and integrating multiple data sources.
• Excellent ability to translate complex statistical outputs into compelling, clear narratives.
• Experience with ML/LLM model development, workflow automation, and a solid understanding of model validation and reproducibility standards.
• Proven track record of providing technical guidance and raising analytical standards among peers and junior team members.
• Experience in data visualization tools (i.e. Power BI, Tableau, etc.)
• Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model development, and/or Control Systems
• Excellent documentation and communication skills
• Excellent interpersonal relationship skills including negotiating and relationship management skills
• Experience with using web services (e.g., Redshift, S3, Spark, etc.)
• Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word, and Access)
• Working knowledge in related tools and applications (e.g., Oracle, JDE, Concur, )
• Extensive knowledge and understanding of principles, theories, and concepts relevant to Artificial Intelligence (AI) and/or Machine Learning model…