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Lead Data Scientist
Volta MedicalLead Data Scientist developing innovative AI solutions for medical devices in electrophysiology labs. Managing a multidisciplinary team and driving AI technology development in the healthcare sector.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 ScienceMachine Learning Solutions DevelopmentTechnical Team LeadershipPython ProgrammingRegulated Environments Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Machine LearningDeep LearningStatistical ModelingModel DevelopmentModel EvaluationModel DeploymentSignal ProcessingData Collection PipelinesCloud ComputingMLOps
Soft Skills
LeadershipCoachingCommunicationPresentationAnalytical Problem-Solving
Tools & Technologies
PyTorchScikit-learnNumPyPandasGitCI/CDDockerLinux
Industry Keywords
Medical DevicesHealthcareAutomotiveAerospaceAI ResearchTechnical DocumentationRegulatory Submissions
Tech Stack
Tools & technologiesCloudDockerLinuxNumpyPandasPythonPyTorchScikit-Learn
About the role
Key responsibilities & impact- 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
What you’ll need- 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).
Benefits
Comp & perks- Meaningful work with real clinical impact.
- An international, multidisciplinary and collaborative environment.
- The opportunity to work on state-of-the-art AI applied to healthcare.
- High autonomy and opportunities for professional growth.
- Regular scientific exchanges and innovation-driven culture.
- A workplace located in Marseille, offering an exceptional Mediterranean lifestyle.