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Volta Medical

AI-driven real-time guidance for electrophysiology procedures

Lead Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeMarseille, France€80k - €90k /yr

About the Job

Requirements

  • A PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Statistics, Physics, or a related field is required.
  • At least 10 years of experience developing Machine Learning solutions in an industrial R&D environment is required.
  • At least 5 years of experience leading technical teams or mentoring Data Scientists is required.
  • Experience bringing AI models from research to production is required.
  • Strong expertise in Machine Learning, Deep Learning, and statistical modeling is required.
  • A strong understanding of model development, evaluation, and deployment is required.
  • Strong programming skills in Python are required.
  • Experience with PyTorch, Scikit-learn, NumPy, Pandas, and related machine learning libraries is required.
  • Familiarity with software engineering best practices, including Git, testing, CI/CD, and Docker, is required.
  • Good knowledge of Linux environments is required.
  • Fluent spoken and written English is required.
  • Strong leadership and coaching abilities are required.
  • Excellent communication and presentation skills are required.
  • Strong analytical and problem-solving capabilities are required.
  • Ability to work effectively in a multidisciplinary and international environment is required.

Responsibilities

  • Define and drive the Data Science roadmap in alignment with product and business priorities.
  • Lead the design, development, and validation of Machine Learning and Deep Learning algorithms.
  • Ensure scientific excellence and promote best practices in AI research and development.
  • Stay up to date with advances in AI and identify opportunities to integrate new technologies into products.
  • Support the definition of data strategies and contribute to continuous improvement of data collection pipelines.
  • Lead, mentor, and grow a team of Data Scientists, Data Engineers, and PhD researchers.
  • Foster a collaborative, innovative, and high-performance culture.
  • Coach team members in technical and professional development.
  • Coordinate priorities, allocate resources, and ensure timely project delivery.
  • Collaborate with Software Engineering, Clinical, Regulatory, and Product teams throughout the product lifecycle.
  • Contribute to software architecture discussions involving AI components.
  • Ensure production-ready, maintainable, and high-quality code.
  • Participate in preparing technical documentation required for regulatory submissions.
  • Represent Volta Medical at scientific conferences and technical events.
  • Contribute to publications, patents, and collaborations with academic partners.
  • Communicate AI strategy and technical achievements to executive leadership, partners, and investors.

Desired Qualifications

  • Experience working in regulated environments such as Medical Devices, Healthcare, Automotive, Aerospace, or similar.
  • Experience with cloud computing and MLOps.
  • Knowledge of signal processing.

About the Company

Volta Medical

AI-driven real-time guidance for electrophysiology procedures

Volta Medical develops AI-powered software to assist cardiologists during interventional electrophysiology procedures for treating arrhythmias. Its real-time guidance tools integrate into operating room workflows to help physicians perform complex ablation and mapping tasks more efficiently. The software is designed to work with existing clinical systems via a plug-and-play approach, providing actionable insights during procedures and aiming to improve precision and outcomes without requiring major changes to current workflows. Compared to other tools, Volta Medical focuses on real-time AI-driven procedural support for electrophysiology, targeting hospitals and healthcare institutions that perform cardiac interventions. The company’s goal is to become an indispensable in-OR assistant for arrhythmia treatments, delivered through software licensing and subscriptions that align with medical device partnerships.

Company size
51-200
Company stage
Series B
Total funding
$70.5M
Headquarters
Marseille, France
Founded
2016

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