Remote Data Scientist

Description:

• Develop, implement, and optimize machine learning models for analyzing cardiac data including data preprocessing, feature engineering, and model selection.
• Create and refine algorithms to enhance the accuracy and efficiency of heart health diagnostics.
• Stay updated with the latest research in machine learning, AI, and cardiovascular health to improve products continuously.
• Collaborate with cross-functional teams to integrate models into the production environment and ensure they meet clinical standards.
• Present data findings clearly through dashboards, reports, and presentations.
• Monitor the performance of deployed models and conduct testing to validate their effectiveness.
• Ensure compliance with regulatory standards and maintain high levels of data security and privacy.

Requirements:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. Ph.D. is a plus.
• 2+ years of experience in data science, preferably in healthcare or biomedical field.
• Proficiency in Python, C++, machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), statistical analysis, data mining techniques, and big data technologies.
• Understanding of cardiovascular health and medical data.
• Strong problem-solving skills and ability to work with large, complex datasets.
• Excellent verbal and written communication skills.
• Ability to work effectively in a collaborative, fast-paced environment.

Benefits:

• Be part of a disruptive startup in HealthTech and AI, contributing to making a difference.
• Personal and professional growth within a fast-growing, international team.
• Access to the best tech equipment for your job.
• Unlimited remote working environment with the option to work from home or the Madrid office.
• Learning and development opportunities with a training budget.
• Flexible remuneration and health insurance.
• Regular team events and Thursday happy hours.