Senior Data Scientist

Cardiosense

Cardiosense is on a mission to transform cardiac care with innovative AI solutions. The company focuses on wearable sensors and machine learning algorithms that provide valuable insights from physiological data. Their dedicated team blends expertise in data science and medicine to advance heart disease management built on years of clinical research.

In this role you can expect to have the responsibilities:

• Identify data-driven business solutions with cross-functional teams.
• Develop and deploy scalable machine learning algorithms and analytics tools.
• Enhance digital signal processing for physiological data and hemodynamic assessments.
• Lead the full model lifecycle from prototyping to deployment.
• Conduct exploratory data analysis to drive insights.
• Work with structured and unstructured data for trend analysis.
• Build robust data pipelines in collaboration with data engineering.
• Communicate findings and translate business needs into data science projects.

This role comes with the following benefits:

• Equal opportunity employment practices.

This role requires you to have:

• Master's or Ph.D. in Data Science, Computer Science, or related fields.
• Over 3 years of experience in data science or similar fields.
• Leadership experience in data science projects.
• Proficiency in Python, R, or Scala.
• Expertise in TensorFlow, PyTorch, or Scikit-learn.
• Experience with big data tools like Spark or Hadoop.
• Cloud experience on platforms like AWS, Azure, or GCP.
• Analytical thinking and problem-solving skills.
• Strong communication and presentation abilities.

You would benefit from having:

• Experience in healthcare or medical device sectors.
• Knowledge of MLOps and automated pipelines.

Cardiosense supports diversity and is committed to equal opportunity for all candidates regardless of race, religion, gender identity, or other protected statuses.