Data Scientist

NECTURE empowers businesses to unlock the full potential of fleets, seamlessly bridging the gap between mobility and energy. Combining human-driven information with data-driven intelligence, we provide tailored solutions that optimize operations, reduce costs, and achieve sustainability goals. NECTURE is building a world where electric fleets are not only possible, but thrive. With a growing number of customers around the world, and an exciting data-driven product that is developing continuously, we are looking for a Data Scientist (full-time) to join our team in Vienna asap.TasksLead development of ML engine powering forecasting and optimizationHandling geospatial data related to our productsDeveloping & reviewing spatio-temporal modelsBuild production-grade ML pipelines, monitoring, and deployment processesCollaborate with backend and product teams to integrate ML at scaleAdvocating Data Science topics to to other members of the teamRequirements4–6 years experience as Data Scientist/ML EngineerStrong applied ML skills (Python, ML frameworks, MLOps tools)Proven record of deploying models in productionStartup/scale-up experience; thrives in dynamic environmentCommunicates well with engineers, PMs, leadershipGood English language skills (German language not required)Nice-to-have: experience with Azure ML toolsBonus: familiarity with KedroBenefitsOpportunity to shape a fast-growing start-up and make a significant impact on our future.Join a fantastic team with a vibrant start-up spirit and English as the working language.Enjoy flexible working hours with a healthy mix of office and remote work.Continuous training and learning support through events, training sessions, and courses.Top equipment, incl. individual equipment budget for special requests, company phone, company e-scooters, etc.Participate in regular team events to foster a collaborative and fun work environment.Receive a competitive salary based on your experience and qualificationsAs an innovative start-up, we value your fresh ideas, unique perspectives, and motivations to contribute to a livable future with the power of climate tech.