Principal Data Scientist
Kanadevia Inova · Zurich, Zurich, Switzerland
Services for Renewable Energy · 1,001-5,000 employees
About the role
Lead the design, development, and deployment of advanced AI and machine learning solutions to address strategic business challenges. Act as the subject matter expert while mentoring technical teams and establishing standards for MLOps and model lifecycle management.
What they look for
Requirements
Requires proven experience in delivering production-grade AI/ML solutions and strong expertise in cloud platforms and data engineering. Candidates must demonstrate technical leadership and the ability to translate complex business needs into scalable AI-driven architectures.
Full description
Company Description
Welcome to Kanadevia Inova, a global innovation leader in the waste infrastructure space, where we believe in creating a sustainable future through technology and innovation.
Transforming Waste into Value
At Kanadevia Inova, we pride ourselves on being at the forefront of waste-to-X technology. We are not just waste managers; we are creators of value from what communities discard. Your role at Kanadevia Inova directly contributes to turning something once considered useless - waste - into something invaluable: energy, heat, hydrogen, fertilizer, and beyond..
Find out more about Kanadevia Inova at www.kanadevia-inova.com.
Job Description
- Lead the design, development, validation, and deployment of advanced AI, machine learning, optimization, and analytics solutions for strategic business challenges.
- Act as the organization's AI and Data Science subject matter expert, driving adoption of best-in-class methodologies and emerging technologies.
- Define and maintain standards for experimentation, model validation, MLOps, monitoring, explainability, and lifecycle management.
- Collaborate with product, engineering, and business stakeholders to develop AI-driven use cases, influence product strategy, and guide architecture decisions.
- Mentor technical teams, promote innovation and analytical thinking, and ensure AI solutions meet regulatory, security, and governance requirements.
Qualifications
- Proven experience delivering multiple production-grade AI/ML solutions from concept through operations.
- Strong expertise in machine learning, MLOps, cloud platforms, data engineering, and software development practices.
- Experience across the full AI solution lifecycle, including PoC, MVP, industrialization, deployment, and support.
- Demonstrated technical leadership with a successful track record of mentoring and developing technical talent.
- Relevant industry experience and the ability to translate business needs into scalable AI-driven solutions.
Additional Information
For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.
