Senior Data Scientist; d​/f​/m

Stellenbezeichnung: Senior Data Scientist (d/f/m) Short FactsLocation: Munich, GermanyEmployment Type: Full-Time, indefinite termSalary Range: € 88. per year gross depending on the seniority levelOffice First work setupLanguage Requirement: C1 Level EnglishYour ResponsibilitiesBe part of a cross-functional team of data scientists and software engineers.Research, develop and productionalize ML models for distributed energy system including clustering and forecasting.Implement, deliver and monitor well-engineered data driven solutions in our real-time production system.Contribute to define our data science roadmap, and help shape our next generation algorithms.Promote technical excellence, advocate for ML and coding best practices, contribute to our open, data-driven engineering culture, and mentor junior data scientists.Design, implement, deploy, and operate robust machine learning solutions in production.Your ProfileUniversity degree in a data-driven or analytical field (such as Computer Science, Statistics, Applied Mathematics, Data Science, or related disciplines), with a strong focus on Machine Learning.5+ years industry experience in Machine Learning time series, or in data science applied to the energy sector or complex distributed systems.Proficiency in software development and software practices (e.g. testing, code quality, monitoring), with strong expertise in Python.Proven experience in delivering and monitoring machine learning artifacts in productionExperience working in AWSProven record of mentoring junior data scientists, leading them to contribute to the organization’s financial performanceExcellent English communication and interpersonal skillsYou enjoy solving problems and sparring ideas in a cross-functional team with our data scientists, software engineers, product managers and business developersSkills to Set You ApartSpecifically, experience working with large amounts of time-series data.Work experience in energy / trading or similar fieldsExperience in Linear and Stochastic OptimizationBenefitsVirtual Share Options: We offer virtual share options to all our employeesProfessional Development: Annual development budget of 3,000 € for coachings, trainings, books, etcHealth & Sport Subsidy: Company subsidised sports facilities membership or Public Transportation Subsidy: Monthly subsidy for your public transport ticketLunch/Dinner Allowance Vouchers: Allowance for meals on working days as digital meal vouchersWork Equipment: Mac Book, an ergonomic workplace setup, and company-funded access to leading AI development tools so you always have the best tools availableRegular Team Events: Knowledge Sessions, Afterwork, Sports, Offsites, Halloween, Pride Month, etc.#J-18808-Ljbffr