Jobbeschreibung
Willkommen bei ROSEN!Seit unserer Gründung im Jahr 1981 haben wir uns zu einem Global Player mit fast 4.000 MitarbeiterInnen in über 120 Ländern entwickelt. Als Technologie- und Weltmarktführer im Bereich Pipelineinspektionen bieten wir AuftraggeberInnen einzigartige Produkte und Dienstleistungen – und Fachkräften attraktive Jobperspektiven in einem hochtechnologischen Umfeld. Nicht umsonst sind wir „empowered by technology“!
Join Us in Shaping the Future of AI-Powered Pipeline Evaluation!
At ROSEN, we are at the forefront of the digital transformation of critical infrastructure anomaly assessment. As part of our strategic vision, we are developing a state-of-the-art, AI-driven solution designed to modernize our evaluation processes, increase efficiency, and deliver high-quality results to our customers.
Our new project is a key pillar of our digital transformation strategy and focuses on cloud-native architectures, advanced AI models and a modern JavaScript technology stack to streamline workflows, modernize the portfolio, and revolutionize how we analyze and interpret pipeline integrity data. By leveraging machine learning, advanced data processing, and cutting-edge web technologies, we aim to significantly reduce cycle times, increase customer satisfaction, and provide an intuitive, seamless user experience.
For our development team in Lingen (Ems) or Osnabrück we are looking for a
Data Scientist (all genders welcome)
RESPONSIBILITY:
- Desing and develop new models and algorithms to automate alignment of multiple data sets and analyze large amounts of signal data
- Implement training and validation pipelines to derive a robust estimate of performance in production
- Support your team when deploying your model as a service
- Collaborate closely with Cloud & Data teams to enable and monitor real-time analytics
- Ensure robustness, performance, observability, and scalability of your models
- Drive automation of data evaluation with a zero-incident mindset
To become part of the ROSEN family, you are team minded and convince by an independent and structured work behavior. Moreover, you should bring with you:
- Completed degree or doctorate in information technology, physics, mathematics, computer science or a comparable field of study
- Minimum of 5 years professional experience in deep learning, statistics and signal data processing
- Proficiency in the python deep learning ecosystem (python, tensorflow,pytorch, pandas,...)
- A problem-solving mindset, strong collaboration skills, and a passion for building high-performance systems
- Familiarity with developing in an agile SCRUM Team
- Experience in solving sequence alignment problems is a plus
- Solid knowledge of bringing models to production
- Very good German and English language skills
- Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character
- Flexible working time and Home Office possible
- An open, informal corporate culture, where we celebrate success with social events
- Compatibility of work and family through our company-owned bilingual day care center ROKIDS as well as our bilingual elementary school ROBIGS (optional: day care during the holiday)
- Employer funded pension and capital accumulation benefits
- Company Restaurant (only in Lingen) and fresh fruit is available daily
- Various in-house sports activities (EGYM Wellpass and other offers)
- Attractive leasing offers for IT-products and bikes for private use
- Corporate Benefits - employee offers in changing online shops at top conditions