Manager, Data Science

<h1><span style="font-size: 18pt;"><span style="color: rgb(102, 110, 153);">What Cognite is:</span> <span style="color: rgb(0, 41, 255);">Relentless</span> <span style="color: rgb(102, 110, 153);">to achieve</span></span></h1> <p></p> <p><span style="font-size: 12pt;">Cognite operates at the forefront of <strong>industrial digitalization, building AI</strong>, and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.</span></p> <p><span style="font-size: 12pt;">We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.&nbsp;</span></p> <p><span style="font-size: 12pt;">Our <a href="https://www.cognite.com/en/company/newsroom/cognite-s-industrial-ai-momentum-soars-driving-ecosystem-impact-at-global-conference">Moonshot</a> is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.</span></p> <p><br><img style="display: block; margin-left: auto; margin-right: auto; max-width: 100%;" src="data:image/png;base64,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