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28 сен
Data Scientist in Operational Insights
ориентир по рынку
вакансия
зп не указана
в среднем
305 081 ₽
мэтч
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описание
Описания нет
задачи
- Technical responsibility for the development, productionisation and continuous improvement of advanced analytics, data science and AI solutions in the context of Operational Insights, from initial conception to operational use
- Development of high-quality, maintainable and production-ready code for analytics and machine learning solutions applying fundamental software development principles, e.g. modular design, automated tests, code reviews and technical documentation
- Implementation of analytics and machine learning models including deployment, monitoring and lifecycle concepts in a cloud environment, e.g. CI/CD, model versioning and performance monitoring
- Close collaboration with data science, data engineering, platform and Data Strategy & Management teams to integrate analytical solutions into existing system and operating landscapes
- Evaluation and further development of modern analytics, data science, AI and MLOps solutions as well as active promotion of AI use in data science use cases with a focus on sustainable operation and trends
требования
- Successfully completed degree in computer science, data science, mathematics, physics, industrial engineering or a comparable technical field
- At least 5 years of professional experience as a Data Scientist, AI Specialist or in a comparable role with a clear focus on the development, productionisation and operation of analytical solutions in a corporate or consulting environment
- Very good understanding of modern analytics & AI methods and corresponding system architectures, especially with regard to model serving, data and system dependencies, scalability, performance and sustainable operating concepts
- Solid practical experience in deploying and operating analytics and machine learning solutions, especially using cloud environments (e.g. MS Azure), CI/CD pipelines, MLOps approaches, monitoring and versioning
- Very good Python skills and solid experience in developing productive, maintainable and tested code, including modular software architecture, version control, automated tests, code reviews and technical documentation
- High technical independence, a structured way of working and experience in working with interdisciplinary teams as well as strong communication and presentation skills in German and English – combined with the motivation to actively drive data analytics and AI at TÜV SÜD!
условия
- Локация: Мюнхен
- Flexible working hours: our flexible working hours allow you to adapt your working time to your personal needs
- Special payments: in addition to a market-rate salary, we offer attractive special payments such as a group success bonus or other performance-related salary components
- Occupational health management: our occupational health management includes, among other things, the EGym Wellpass, which gives you access to a wide range of fitness and health offers, as well as a company pension scheme that helps you provide for your future
навыки
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайся: это мошенничество.
