Lead Data Scientist

• Lead a multidisciplinary Data Science team and contribute to the development of innovative machine learning solutions embedded in medical devices.
• Combine scientific expertise, technical leadership and people management to drive the development of next-generation AI algorithms.
• 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 the latest advances in AI and identify opportunities to integrate new technologies into products.
• Support the definition of data strategies and contribute to the 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 both technical and professional development.
• Collaborate closely with Software Engineering, Clinical, Regulatory and Product teams throughout the product lifecycle.
• Ensure production-ready, maintainable and high-quality code.
• Participate in the preparation of technical documentation required for regulatory submissions.
• Represent Volta Medical at scientific conferences and technical events.
• Contribute to publications, patents and collaborations with academic partners.

Requirements

• PhD in Computer Science, Artificial Intelligence, Applied Mathematics, Statistics, Physics or a related field.
• 10+ years of experience developing Machine Learning solutions in an industrial R&D environment.
• 5+ years of experience leading technical teams or mentoring Data Scientists.
• Experience working in regulated environments (Medical Devices, Healthcare, Automotive, Aerospace or similar) is a strong plus.
• Experience bringing AI models from research to production.
• Strong expertise in Machine Learning, Deep Learning and statistical modeling.
• Excellent understanding of model development, evaluation and deployment.
• Strong programming skills in Python.
• Experience with PyTorch, Scikit-learn, NumPy, Pandas and related ML libraries.
• Familiarity with software engineering best practices (Git, testing, CI/CD, Docker).
• Good knowledge of Linux environments.
• Experience with cloud computing and MLOps is a plus.
• Signal processing knowledge would be highly appreciated.
• Strong leadership and coaching abilities.
• Excellent communication and presentation skills.
• Strong analytical and problem-solving capabilities.
• Ability to work effectively in a multidisciplinary and international environment.
• Fluent English (spoken and written).

Core Competencies

Demonstrates expertise in leading Data Science teams to develop and implement innovative Machine Learning and Deep Learning solutions in regulated environments. Proficient in driving data strategies, ensuring scientific excellence, and fostering a collaborative culture while mentoring team members.

Highest-signal resume keywords

• PhD In Computer Science
• Machine Learning Solutions Development
• Technical Team Leadership
• Python Programming
• Regulated Environments Experience

ATS Optimization Keywords

Hard Skills

• Machine Learning
• Deep Learning
• Statistical Modeling
• Model Development
• Model Evaluation
• Model Deployment
• Signal Processing
• Data Collection Pipelines
• Cloud Computing
• MLOps

Soft Skills

• Leadership
• Coaching
• Communication
• Presentation
• Analytical Problem-Solving

Industry Keywords

• Medical Devices
• Healthcare
• Automotive
• Aerospace
• AI Research
• Technical Documentation
• Regulatory Submissions

Tools & Technologies

• PyTorch
• Scikit-learn
• NumPy
• Pandas
• Git
• CI/CD
• Docker
• Linux