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Paris, Île-de-France Ekimetrics Temps pleinEkimetrics est leader en data science et fournisseur de solutions AI. Depuis 2006, nous utilisons la data science au service de l'optimisation de performance marketing, business et de la transition vers une performance plus durable.Si vous êtes passionné.e de data, ou de technologie en général, et que vous avez envie d'être de votre avenir...
deep learning scientist
Il y a 27 minutes
AboutWe believe in a more responsible way of flying. Our purpose is to help aerospace companies reduce their climate impact. We have looked at all options: new generation aircraft, contrail mitigation, sustainable aviation fuel, electric airplanes… all will have a role to play and we are here to help companies navigate those options with data.Our co-founders have experience at Airbus, MIT, Preligens & Aéroports de Paris. Our passion for aviation grounds our determination to improve the environmental impact of the sector.Would you like to work within an early stage company where much remains to be built, get exposure to an amazing network of aerospace individuals with a genuine drive to make a difference ?Job DescriptionYou will start as a Deep Learning Scientist within our technical team, with the opportunity to expand your scope into full-stack data science as you grow with us. Your responsibilities will include:Deep Learning - build killer deep-learning algorithmsDevelop Deep Learning algorithms, notably to analyze contrails and their climate impacts on satellite images (MTG, GOES, LEO)Prototype, iterate, and deploy models to cloud platforms, ensuring scalability and real-world applicability.Lead data-science project as part of our product roadmapOver time, take ownership of end-to-end data projects, from pipeline development to product integration.Support our research team to push boundaries of climate modellingImpact - drive customers to mitigate their climate impactOperations: work closely with customers & deliver data to support decision making on sustainabilityAviation sustainability ambassador - spread the wordSupport the sales team effort at tradeshows or when drafting technical propositionsAttend technical sessions with external stakeholders to present your workCommunicate and educate our community on the best ways to reduce the impact of the sector, be a mastermind at bringing complex climate science to the manyPreferred ExperienceWe are looking for the following qualifications but do not worry if not matching all of them :4+ years of experience as a Deep Learning Scientist, ideally in aerospace, aviation, or academia.Expertise in computer vision, especially satellite imagery analysis and geospatial data, using PyTorch/TensorFlow.MLOps experience: Building automated pipelines and deploying models at scale.Strong Python and SQL skills, with experience in Pandas, efficient coding, and cloud deployment (GCP, AWS, Docker, FastAPI, BigQuery).Interest in full-stack data science: Experience or curiosity in data engineering, backend development, or building data products is a plus.Candidate should be curious, autonomous and a reliable team player with interest for aviation, sustainability & impactFluent in french is a plus but not necessary, we speak day to day in english"This cannot work" is a sentence you use very carefullyRecruitment ProcessA first interview with a data scientist (30min) :Get-to-know And Discussion About Experience, Motivation And InterestsShort technical challenge "e.g. how does an airplane fly?"A second interview with a member of the tech team (30min) :Presentation of technical challengeDiscussion of caseA third interview with the cofounders (1h):Skill assessments and aligning expectationsOpportunity to get answers to your remaining questionsEstuaire is an equal opportunity employer and makes employment decisions on the basis of merit. All qualified applicants will receive consideration for employment without regard to race, age, religion, gender, sexual orientation, origin, disability.Additional InformationContract Type: Full-TimeStart Date: 01 December 2025Location: ParisEducation Level: Master's DegreeExperience: > 4 yearsOccasional remote authorizedSalary: between 40000€ and 80000€ / year
