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Job description

Kayrros is a leading environmental intelligence company at the forefront of climate action that uses AI, satellite imaging, geolocation data and other sources of information to accomplish three main missions: reduce greenhouse gas emissions; protect people, assets and ecosystems from climate risks (flooding, wildfires); and facilitate and accelerate the energy transition. Our team of experts and tech wizards is working to bring near-realtime transparency to energy and the environment, from crude oil inventories and solar energy to methane emissions, wildfire risks and afforestation. In just six years, the Kayrros team has grown to 150 experts in data science, mathematics and energy, representing over 20 nationalities and 10 spoken languages. The team works from six offices across three continents: our Paris headquarters, New York, Houston, London, Singapore and Bangalore. Our ~100+ clients including a wide range of stakeholders including government regulators and policymakers, international organizations, energy companies, asset managers, insurance companies, lending banks, trading companies and civil society. Just in the last few months, Kayrros was recognized as a member of French Tech 2030, crowned by TIME magazine as one of the TIME100 Most Influential Companies in the world, by the Financial Times as a Tech Champion and by Fast Company as one of the five Most Innovative Companies in energy and the environment. Kayrros is the main data supplier to the UN Environmental Program’s International Methane Emissions Observatory (IMEO) and was acknowledged in the latest UNEP Global Methane Assessment report. Kayrros is expanding its team of talented people dedicated to positively disrupting the world’s biggest industries and shaping the future of energy and the environment. Due to our growth, we are currently recruiting top candidates to join our different teams based in Paris : - Data Engineer M/F - Data Scientist M/F - Product Analyst M/F - Business/Marketing Analyst M/F Join us to make a difference! - You are dynamic, curious, eager to learn about the energy industry, machine learning and artificial intelligence - You can communicate clearly in English, including with non-technical people - You are willing to contribute actively and have a real impact to the company success