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# Data Scientist - Remote

- **Company:** Idoven
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Artificial Neural Networks, Big Data, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, NumPy, Tensorflow, Signal Processing, SQL Databases, Data Processing, Deep Learning, Pandas, Build Management, Scikit Learn, Data Analytics, Performance Monitor, Data Management
- **Published:** September 11, 2026
- **Apply:** https://www.recruit.net/job/data-scientist-remote-jobs/320FA89B6104E288

## About the Role

Must-haves:

 * 4+ years in R&D and Data Science related fields
 * Deep Learning Mastery: 4+ years of hands-on experience with neural networks (CNNs, LSTMs or Transformers)
 * From-Scratch Model Development: Proven ability to design and build neural networks from the ground up
 * Model Diagnostics: Skilled in evaluating results and performing deep-dive error analysis to resolve model failures
 * Experience with statistical software (e.G., R, Python, Tensorflow, pandas, NumPy, scikit-learn) and data management and SQL.
 * Applied experience with large datasets, large is not only in quantity
 * Autonomy & Teamwork: Seniority to execute end-to-end projects with minimal supervision while facilitating seamless collaboration between different Idoven departments to streamline work and achieve company goals
 * Comfortable working in both English & Spanish, with the ability to communicate technical concepts to all stakeholders, * Clinical Expertise: Experience in ECG processing and electrophysiology, including general interpretation and knowledge.
 * Signal Processing Expert: it's a field where "you have no secrets."
 * Education: Master's in a quantitative field (e.G., Physics, Engineering, Stats, CS or similar);
PhD in a bioengineeringand/or quantitative discipline is highly preferred

 * Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
 * Statistical Precision: Demonstrated skill in selecting the optimal tools and frameworks for specific data analysis challenges
 * Strong communication skills, with a proactive drive to teach others and master new techniques
 * A high-autonomy professional who acts as an "Energy Giver," balancing a commitment to continuous learning with a drive to up-skill the wider team through active teaching.

## Description

* Data Analysis and Modeling: Develop, implement, optimize and validate machine learning models. Cardiac data analysis, including data management and cleaning within large-scale datasets.
 * Create and refine algorithms to improve the accuracy and efficiency of heart health diagnostics
 * Research and Innovation: Stay updated with the latest research in machine learning, AI, and cardiovascular health to continuously enhance our products
 * Collaboration: Work collaboratively with other teams to integrate models into the production environment and ensure they meet clinical standards
 * Data Visualization: Present data findings in a clear and concise manner to stakeholders through dashboards, reports, and presentations
 * Performance Monitoring: Monitor the performance of deployed models and conduct testing to validate their effectiveness
 * Compliance and Security: Ensure all data handling processes comply with regulatory standards and maintain high levels of data security and privacy


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