Offer summary

Qualifications:

Bachelor's Degree or Equivalent in Computer Science, Information Systems, Statistics, Natural Sciences & Mathematics or a related discipline., 8 years of related experience in Statistics, AI, and ML., Extensive knowledge of statistical analysis, algorithms, and data modeling., Proficient in English with strong research skills. .

Key responsabilities:

Translate business requirements into executable design strategies for projects.

Participate in agile development processes and collaborate with cross-functional teams.

Develop robust software solutions using Python, ML, and Cloud Technologies.

Conduct experiments, analyze results, and provide expert guidance on projects.

Job description

Innovation starts from the heart. At Edwards Lifesciences, we’re dedicated to developing ground-breaking technologies with a genuine impact on patients’ lives. At the core of this commitment is our investment in cutting-edge information technology. This supports our innovation and collaboration on a global scale, enabling our diverse teams to optimize both efficiency and success. As part of our IT team, your expertise and commitment will help facilitate our patient-focused mission by developing and enhancing technological solutions.

The AI Factory team focuses on developing and delivering cutting edge technologies to improve patient care. Our vision is to provide proactive care and smart recovery to our patient community who are fighting cardiovascular disease through innovative connected solutions. In this role, the data scientist will be working alongside Product Engineering Leads in developing various desktop, web, and mobile solutions fueled by a robust AI engine that will improve patient care.

How you will make an impact:

Translate business requirements into system qualities that lead to repeatable and executable design strategies and patterns for tactical projects / initiatives in collaboration with project teams
Participating in agile development processes, including sprint planning and daily stand-ups.
Collaborating with cross-functional teams and business to align on project goals and requirements.
Conducting demos to showcase progress and gather feedback.
Conducting research on open-source tools and ML techniques relevant to the medical domain.
Developing robust and scalable software solutions using Python, ML, Data, and Cloud Technologies.
Designing and developing Statistical and ML models, integrating various data sources and algorithms.
Working with ML frameworks and libraries, such as PyTorch, MONAI, Scikit-learn, Decision trees, Neural Networks, Logistic Regression.
Managing and preprocessing data for ML model training.
Conducting experiments, analyzing results, and reporting on the performance and limitations of the models, as well as suggesting improvements and new directions for future research and development.
Provide expert guidance on tactical projects/initiatives
Provide training, coaching and knowledge transfer to team members on more complex tasks
General and administrative tasks

What you’ll need (Required):

Bachelor's Degree or Equivalent in related field (Advanced degree or equivalent in Computer Science, Information Systems, Statistics, Natural Sciences & Mathematics or a related discipline)
8 years of related experience (Statistics, AI, ML)
Extensive knowledge and understanding of statistical analysis, algorithms and data modeling to conduct research and evaluation of new models
Proficient in English
Strong research skills, with the ability to identify and implement relevant techniques to specific business problems
Knowledge and understanding of AI and Machine Learning

What else we look for (Preferred):

Proficiency in programming languages like Python, Matlab and SQL
Experience with ML and Data framework and libraries, such as Pandas, Scikit-Learn, PyTorch, Tensorflow, XGBoost, CatBoost
Experience with Cloud Services like AWS or Azure preferred
Experience with Data Lake and ETL processes

Required profile