Principal Data Scientist

Kanadevia Inova · Zürich, Zürich, Switzerland

On-siteWorkplace
3d agoPosted · Aug 1
jobroomSource
Apply now Opens the original posting at Kanadevia Inova. PivotHop does not host applications.

Skills in this posting

Extracted from the posting text by the instrument — the demand side, read literally.

The posting

## 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.

Excerpt from the original listing. The full, current text lives at the source. Read and apply there →

The PivotHop read

Where these skills also reach

Adjacent occupations measured from the same postings — readiness is what a data scientist’s profile already covers.

More data scientist roles

Backfilled listing, refreshed with the nightly scrape; the employer has not claimed it yet. Are you the employer? Claim this listing and it can be featured to the candidates whose skills already reach it, first month free.

© 2026 PivotHopReal data, real career moves