Edwards Lifesciences · 4 hours ago
Senior Data Scientist
Edwards Lifesciences is a company focused on transforming patients' lives through innovative medical technologies. The Senior Data Scientist will drive impactful business decisions by applying advanced analytics and machine learning to deliver valuable insights and recommendations, collaborating with various stakeholders to enhance decision-making and model performance.
BiotechnologyHealth CareMedicalMedical Device
Responsibilities
Design, build, test, and optimize advanced machine learning models—including NLP, deep learning, and large language models—to support strategic use cases and business outcomes
Develop and refine complex algorithms; evaluate model results; generate actionable recommendations; and communicate findings to both technical and non‑technical audiences
Analyze, interpret, and report on complex data sets, algorithmic outcomes, and ML performance metrics
Cleanse, label, and validate both structured and unstructured data, ensuring accuracy, completeness, and model readiness
Experiment with new data sources and integrations to improve model performance and operational efficiency
Identify and implement analytics tools and platforms (Python, SQL, Power BI, etc.) to elevate the data science tech stack and accelerate productivity
Qualification
Required
Bachelor's Degree in a related field (e.g., Computer Science, Engineering, Biostatistics, or a Scientific field), 4 years of previous experience
Master's Degree or equivalent in related field (e.g. Computer Science, Engineering, Biostatistics or Scientific), 3 years' experience including either industry or industry/education
Experience with machine learning techniques (e.g., clustering, decision tree learning, artificial neural networks, etc.) such as Boosting Model and Decision Forests
Experience using statistical computer languages (e.g, R, Python, SQL, etc.) to manipulate large data sets
Ability to effectively communicate information
Experience with cloud services (e.g., AWS and Snowflake)
Preferred
Leverage generative AI tools (e.g., Github Copilot and Python LLM frameworks) to accelerate exploration, prototyping, and automation across data science workflows
Use AI‑assisted coding tools (e.g., GitHub Copilot, SQL copilots, and generative Python assistants) to streamline development, documentation, and testing workflows
Author and maintain detailed design control documents, including algorithm requirements, validation plans, and risk assessment documentation
Support internal and external partners with analytics methodology, metrics, and reporting best practices
Work cross‑functionally with engineering, product, clinical, commercial, and external partners to translate business needs into robust analytical solutions
Provide technical guidance and mentorship to peers and partner teams on ML, LLMs, and responsible AI practices
Benefits
Competitive salaries
Performance-based incentives
A wide variety of benefits programs
Company
Edwards Lifesciences
Edwards Lifesciences is a provider of science of heart valves and hemodynamic monitoring.
H1B Sponsorship
Edwards Lifesciences has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (81)
2024 (70)
2023 (42)
2022 (65)
2021 (44)
2020 (28)
Funding
Current Stage
Public CompanyTotal Funding
unknown2000-04-03IPO
Recent News
2026-02-04
bloomberglaw.com
2026-01-20
BioWorld Financial Watch
2026-01-15
Company data provided by crunchbase