Principal Data Scientist

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.