Data Scientist
Deel
CloudPython
Job Level
Lead
Tech Stack
CloudPython
About the role
- Lead, scale, and support a high-performing tech team across software, ML, and infrastructure
- Mentor senior engineers and team leads, define growth paths, and establish fair, motivating compensation frameworks
- Foster a culture of ownership, learning, and collaboration across the technical organization
- Ensure smooth cross-functional collaboration with product, regulatory, support and commercial teams
- Support recruitment in collaboration with HR and help position the company as a top tech employer
- Define and communicate the company’s technical vision in collaboration with the CEO and Director of Product
- Own and evolve the technology roadmap, balancing innovation, scalability, and technical debt
- Set and manage clear goals (e.g., OKRs) to guide engineering and ML efforts
- Keep up with trends in ML, software, and healthcare IT to inform long-term strategy
- Represent technical direction and milestones to external stakeholders (e.g., partners, investors)
- Oversee implementation of tools, workflows, and best practices for software and ML development
- Ensure software quality, security, and compliance with regulatory requirements (e.g., MDR, FDA)
- Ensure efficient development cycles, high software quality, and minimized technical debt and security risks
- Manage selected external collaborations and workflow integrations in the clinical ecosystem
Requirements
- 3+ years of experience applying machine learning to imaging data
- Strong software development background
- 2+ years of leadership experience in building and managing technical teams in a fast-paced or growth-stage environment
- Proven track record of delivering high-quality, production-ready ML/AI products
- Proficiency in agile workflows and managing projects with measurable outcomes
- Strong communication skills, including moderation, conflict resolution, and cross-functional collaboration
- Strategic thinking, resilience under pressure and ability to focus teams on what matters
- Scientific mindset and experience with research evaluation or publication in AI/ML
- At least basic knowledge of radiology workflows
- PhD or advanced degree in machine learning, computer science, or a related field (desired)
- Hands-on experience with Python and cloud infrastructure (desired)
- Familiarity with radiology workflows, medical imaging (e.g., DICOM), or healthcare IT standards (desired)
- Experience with regulatory frameworks (MDR, FDA) and quality systems (e.g., ISO 13485) (desired)
- Experience mentoring engineers and supporting career growth across different levels (desired)
- Experience with large language models (LLMs), including fine-tuning or integration into products (strong plus)
