CSRO ( Chief Science and Research Officer )

il y a 4 jours


Paris, France QUANTHRONEX Temps plein

CSRO ( Chief Science and Research Officer )CSRO ( Chief Science and Research Officer )4 days ago Be among the first 25 applicantsGet AI-powered advice on this job and more exclusive features.CSRO ( Chief Science and Research Officer )About QUANTHRONEXQUANTHRONEX is a Paris-based deep tech company developing breakthrough innovations across energy, financial infrastructure, and advanced computing.Role Overview:We invite you to join us as our founding CSRO (Chief Science and Research Officer), where you'll lead the scientific and algorithmic development of a pioneering AI platform for Energy-Finance systems, building on a patent-pending methodology filed. We're seeking a forward-thinking scientific leader who can drive innovation and scale our growth.As our CSRO, you'll have the chance to play a crucial role in shaping the company's future. Successfully leading scientific endeavors will lead to:Performance Bonuses: Attractive, performance-based bonuses to acknowledge your contributions.Equity Ownership: Become a key stakeholder in revolutionary ventures and share in the company's success.International Exposure: Collaborate closely with the CEO and CTO on global initiatives, traveling internationally to influence key markets and forge strategic partnerships.Challenging Projects: Take part in stimulating projects that challenge and expand the frontiers of technology and innovation.Competitive Compensation: Attractive salaries and comprehensive compensation packages that exceed industry norms (initially equity-based; exceptional salary to be activated upon funding).Equity Stake: Be a part of our growth through equity participation in transformative ventures.Health and Wellness: Comprehensive health, dental, and vision insurance plans to support your well-being.Generous Paid Time Off: Enjoy flexible time-off policies that promote a healthy work-life balance, with a minimum of 25 days annually to recharge and rejuvenate.Research and Development Budget: Dedicated funding for attending conferences, publishing research, and ongoing learning to keep you at the forefront of your field.Remote Work Options: Flexibility to work remotely, with periodic in-person collaboration to enhance team cohesion.Your mission:Build, integrate, and validate the AI platform for energy-Finance systemsImplement functional algorithm using real operational dataDevelop optimization models for energy system applicationsDeliver prediction and forecasting capabilities for operational planningEnsure data integration with customer operational systemsGenerate validation documentation and pilot demonstration materialsRequired Qualifications:Core Technical Competencies:ML/AI Implementation: Hands-on experience building advanced ML systems in productionDeep expertise in causal inference, probabilistic modelling, or Bayesian methodsExperience with advanced forecasting systems or predictive modelling in complex domainsOptimization Algorithms: Implementing numerical optimization methodsData Integration: Working with real-world operational dataPython Engineering: Production-quality code + C++ / RustValidation & Testing: Rigorous performance measurement and benchmarkingRequired Background (One of the Following):PhD (completed or in the final year) in Machine Learning, Applied Mathematics, Computer Science, Electrical Engineering, or related fieldStrong publication record or demonstrated technical depthMSc in a relevant field + 5 years in R&D or product engineering at a European energy or tech companyHands-on experience building advanced ML/AI systemsProven track record of delivering production softwareWhat is preferred or valuableExperience with energy systems or industrial applicationsFamiliarity with French/EU research funding, institutions and universitiesBackground in time-series forecastingExperience supporting customer pilots or technical evaluationsLeadership ProfileResearch team leadership experienceStrong project delivery track recordStrategic mindset for international scale-upQualificationsPhD or MSc: Machine Learning, Applied Mathematics, Computer Science, Electrical Engineering, or relatedLanguage:Mandatory: Fluency in English AND at least one of the following:French (native or professional proficiency)German (native or professional proficiency)Competitive Compensation: Attractive salaries and comprehensive compensation packages that exceed industry norms (initially equity-based; exceptional salary to be activated upon funding).Equity Stake: Be a part of our growth through equity participation in transformative ventures.Health and Wellness: Comprehensive health, dental, and vision insurance plans to support your well-being.Generous Paid Time Off: Enjoy flexible time-off policies that promote a healthy work-life balance, with a minimum of 25 days annually to recharge and rejuvenate.Research and Development Budget: Dedicated funding for attending conferences, publishing research, and ongoing learning to keep you at the forefront of your field.Remote Work Options: Flexibility to work remotely, with periodic in-person collaboration to enhance team cohesion.ApplyCV + brief note on your interest.At QUANTHRONEX, we believe diversity drives innovation. Applications from women are strongly encouraged for this leadership position.We welcome exceptional talent regardless of location. visa sponsorship available for outstanding candidates.Enhance your experience by following our page for the latest updates and insights : QUANTHRONEX . Don't miss out on what's nextSeniority levelSeniority levelExecutiveEmployment typeEmployment typeFull-timeJob functionJob functionResearch, Analyst, and Information TechnologyIndustriesResearch Services, Energy Technology, and Financial ServicesReferrals increase your chances of interviewing at QUANTHRONEX by 2xGet notified about new Chief Science Officer jobs in Paris, Île-de-France, France.Chief of staff/Bras droit CEO (stage/alternance)Head of People / Senior HRBP (CEO Report)We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr



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