Rosen Technology & Research Center GmbH
Data Scientist (all genders welcome)
- +2
- +8
- Osnabrück, Lower Saxony, Germany
- +2
- +8
- Osnabrück, Lower Saxony, Germany
À propos
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“!
For our development team in Lingen (Ems) or Osnabrück we are looking for a
Data Scientist (all genders welcome)
At ROSEN data science problems are never off-the-shelf problems but require creativity and out-of-the-box thinking to find the right solution
RESPONSIBILITY:
- Solve real-world business problems by applying machine learning, optimization and statistical models to complex heterogeneous data streams
- Design and develop new models and algorithms to analyze, classify, interpret and align several signal data streams
- Design and analyze machine learning experiments that guide our model development process and help us to cut through the noise to identify what matters
- Support team members in understanding experimental outcomes and refining their approache
- Implement training and validation pipelines to derive a robust estimate of performance in production
- Monitor academic and industry research to identify emerging trends and integrate relevant findings into ongoing projects
- Automate 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 PhD in computer science, physics, mathematics, cognitive science, psychology, or a comparable field with a focus on data analysis or machine learning
- Professional experience in deep learning, statistics, and signal data processin
- Deep understanding of neural network architectures, including CNNs, RNNs, Transformer models, and their application to real-world data problems
- Proficiency in the Python deep learning ecosystem (TensorFlow, PyTorch, Pandas, NumPy, Scikit-learn, etc.)
- Problem-solving mindset, strong collaboration skills, and a passion for building high-performance systems
- Ability to guide and mentor team members, contributing to the strategic and technical development of the group
- 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 hours & working time accounts as well as partial home office for a good work-life balance (38 hours/week)
- 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
TITL1_DE
Compétences idéales
- Deep Learning
- Numpy
- Pandas
- PyTorch
- Python
- Scikit-learn
- Statistics
- TensorFlow
Expérience professionnelle
- Machine Learning
- Data Scientist
Compétences linguistiques
- English