Principal Data Scientist

Edwards Lifesciences • Irvine, CA

1d • Hybrid

About The Position

Innovation starts from the heart. Edwards Lifesciences is the leading global structural heart innovation company, driven by a passion to improve patient lives. With millions of patients served in over 100 countries, each team makes a meaningful contribution by improving patient outcomes and discovering lasting solutions for unmet patient needs. Our Principal Data Scientist position is a unique career opportunity that could be your next step towards an exciting future. How you’ll make an impact: Collaborate with internal and external stakeholders to plan and execute analytical model training, testing, and deployment, ensuring alignment with business goals and Edwards Lifesciences (EW) standards. Conduct ad hoc and strategic analyses (e.g., market model metrics, algorithm updates) and present actionable insights to leadership to inform decision-making. Apply predictive modeling, machine learning, and algorithmic techniques to structured and unstructured data to optimize commercial insights and outcomes. Lead or support the implementation of advanced analytics processes and tools, including setting standards and policies for algorithm development, model validation, and risk documentation. Champion data science best practices, guiding model development and adoption of analytical tools across teams. Support data governance activities, working with data stewards to ensure high-quality data processing and management. Assist in identifying and integrating new data sources and technologies to enhance analytical capabilities and foster innovation. This role will be hybrid with 3 onsite days/week.

Requirements

• Bachelor's Degree in Computer Science, Engineering, Biostatistics or other scientific field with 6 years of experience, or Master's Degree with 5 years of experience, or Ph.D with 3 years of experience

Nice To Haves

• Proven experience in developing and deploying machine learning models, including NLP and predictive analytics, in a healthcare setting.
• Strong proficiency in real world data (e.g., Optum, IQVIA Claims, CMS, AcuityMD, Definitive Healthcare) and ability to communicate complex insights effectively.
• Strong problem-solving, analytical, and critical thinking skills with a track record of resolving complex technical challenges.
• 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 communication and interpersonal skills, with the ability to engage stakeholders at all levels.
• High attention to detail and ability to manage competing priorities in a fast-paced, regulated environment.
• Experience with cloud-based data platforms and services (e.g., AWS Redshift, S3).
• Advanced skills in statistical programming languages (e.g., Python with Pandas, R, SQL) and data engineering workflows.
• Demonstrated ability to lead cross-functional teams across organizational boundaries.
• Knowledge of AI/ML principles, control systems, and model lifecycle management.
• Commitment to compliance, and eco-system stewardship in all aspects of work.
• Excellent documentation skills
• Proven expertise on MS Office Suite (e.g., Microsoft Office Excel, PowerPoint, Word)
• Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.)
• Experience using computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
• Proven successful project management skills
• Extensive understanding of processes and equipment used in assigned work

Responsibilities

• Collaborate with internal and external stakeholders to plan and execute analytical model training, testing, and deployment, ensuring alignment with business goals and Edwards Lifesciences (EW) standards.
• Conduct ad hoc and strategic analyses (e.g., market model metrics, algorithm updates) and present actionable insights to leadership to inform decision-making.
• Apply predictive modeling, machine learning, and algorithmic techniques to structured and unstructured data to optimize commercial insights and outcomes.
• Lead or support the implementation of advanced analytics processes and tools, including setting standards and policies for algorithm development, model validation, and risk documentation.
• Champion data science best practices, guiding model development and adoption of analytical tools across teams.
• Support data governance activities, working with data stewards to ensure high-quality data processing and management.
• Assist in identifying and integrating new data sources and technologies to enhance analytical capabilities and foster innovation.

Benefits

• Aligning our overall business objectives with performance, we offer competitive salaries, performance-based incentives, and a wide variety of benefits programs to address the diverse individual needs of our employees and their families.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Number of Employees: 5,001-10,000 employees