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Principal Data Scientist

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Onsite

Principal Data Scientist

Kanadevia Inova

Principal Data Scientist

Skills

Data EngineeringProduct StrategyData ScienceData AnalysisMachine LearningAI

2 months ago

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Important information


Contract type:

Permanent

Location:

Zürich, Switzerland

Work mode:

Onsite

Published on:

2 September 2026

What they need


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.

  • 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.

  • 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.

For HR agencies: Please note that we do not accept applications coming from agencies. Thank you.

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