Data Scientist Manager

Summary

Join IDOVEN, a health tech startup using AI to prevent cardiac disease, as a Deep Learning Specialist. Lead a team of data scientists and engineers, developing and optimizing our AI-powered ECG analysis platform. You will research and implement cutting-edge Deep Learning techniques, ensuring high accuracy and efficiency. This role requires expertise in deep learning modeling and signal processing, along with experience leading teams and managing machine learning pipelines. IDOVEN offers a unique opportunity to contribute to a game-changing product and a supportive work environment with various benefits.

Requirements

• Hold a Master's or PhD in a quantitative field with a focus on Deep Learning
• Have 6+ years of experience in developing, optimizing, and deploying Deep Learning models in production
• Possess strong expertise in signal processing, data balancing, model debugging, and performance optimization
• Be proficient in TensorFlow or PyTorch, Python, and ML libraries (NumPy, Scikit-learn, Pandas)
• Have experience leading and mentoring teams, driving collaboration, and managing machine learning pipelines
• Demonstrate strong project management and communication skills, with the ability to align technical goals with business objectives

Responsibilities

• Lead and mentor a team of data scientists and engineers, providing technical guidance and fostering professional growth
• Continuously research and integrate emerging Deep Learning techniques, including representation learning, self-supervised learning, generative models, and novel neural network architectures, to drive innovation
• Analyze, enhance, and scale Deep Learning models for complex signal processing tasks, ensuring high accuracy, efficiency, and generalization
• Oversee the implementation of data balancing, augmentation, and synthetic data generation techniques to improve model robustness
• Drive model optimization efforts, leveraging techniques such as fine-tuning, distillation, quantization, and distributed training for improved performance
• Spearhead automation initiatives for data preprocessing, model training, and deployment pipelines to accelerate development cycles and ensure efficiency
• Collaborate closely with engineers, domain experts, and stakeholders to ensure technical solutions align with real-world applications and business goals
• Advocate for best practices in AI model development, validation, and deployment, ensuring high-quality and scalable solutions
• Stay abreast of the latest advancements in Deep Learning, signal processing, and AI to maintain a cutting-edge approach to research and development

Preferred Qualifications

• Have experience with large-scale distributed systems and cloud-based ML infrastructures (AWS, GCP, Azure)
• Possess knowledge of MLOps, model interpretability, fairness, and bias mitigation techniques
• Have experience in cross-functional collaboration with product managers and engineers
• Have made contributions to Deep Learning research (publications, open-source projects)
• Have knowledge of cloud computing platforms and distributed training
• Have made contributions to research publications or open-source projects in relevant fields
• Have experience with processing of ECG signals

Benefits

• Unlimited remote working environment, where you can choose to work from home and attend our Madrid office whenever you want to
• Learning and development opportunities and training budget
• Flexible Remuneration
• Health Insurance
• Access to Wellhub (Gympass), empowering your physical and mental wellness!
• Remote Work Allowance for your home office setup!
• 23 holidays, your birthday off, and December 24th and 31st half days to celebrate!
• Regular team events and Thursday happy hours