Job
- Level
- Erfahren
- Job Feld
- Data
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Osnabrück
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle entwickelst du Wohnlösungen durch Machine Learning zur Bewertung von Wasserleitungsintegrität, indem du Sensor- und Bilddaten analysierst und validerst sowie Cloud-basierte Software implementierst.
Job Technologien
Deine Rolle im Team
- Rosenxt is seeking a skilled Data Scientist to join our team.
- This role is ideally suited to someone who is passionate about solving complex problems with data, and delivering measurable value through classical and machine learning methods.
- In this role, you'll work on cutting-edge technology that makes a real-world impact - initially developing data science and machine learning solutions within the Water Line Integrity Solutions group.
- This group focuses on developing advanced technologies for the inspection and assurance of water pipeline integrity.
- Our state-of-the-art inspection devices autonomously travel through water pipelines, gathering extensive data, including video and ultrasound data.
- To evaluate this data, we develop cloud-based software solutions that utilize classic signal processing algorithms, computer vision, and machine learning.
- Translate business and product goals into well-defined data science and machine learning problems, identifying where data-driven approaches can generate the most value.
- Conduct rigorous data analysis and experimentation, identifying patterns, quantifying uncertainty, and adapting strategies based on findings.
- Design, develop, and validate machine learning models and analytical workflows, advancing solutions from research to production.
- Define success metrics and key performance indicators in collaboration with stakeholders, ensuring solutions deliver measurable business impact.
- Produce clear documentation, visualisations, reports, and dashboards for both technical and non-technical audiences.
- Validate data quality, recommend improvements to data collection processes, and identify risks including model bias, drift, and fairness concerns.
- Stay current with advances in statistical and machine learning methods, tools, and industry best practices, assessing their applicability to our goals.
Unsere Erwartungen an dich
Qualifikationen
- Solid understanding of supervised and unsupervised learning algorithms, statistics, and linear algebra.
- Practical skills in statistical analysis, data visualisation, and feature engineering.
- Clear and comprehensive documentation of code, methods, and experiments.
- Ability to implement algorithms from academic papers.
Erfahrung
- Proven experience designing experiments, building models, and delivering data science solutions in production.
- Hands-on experience applying ML and statistical methods to complex real-world data (e.g. sensor data, time series, signal recordings).
- Strong proficiency with Python and core data science libraries (e.g. PyTorch, scikit-learn, pandas, numpy), or strong experience in other languages and a willingness to learn Python.
- Experience with Git, environment management (e.g. Docker, poetry, uv), and at least one major cloud platform (AWS, Azure, or GCP).
- Experience processing ultrasound data & video data.
- Experience with PyTorch, Py Torch Lightning, Open CV, CVAT, Docker, ROS.
Benefits
Work-Life-Integration
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Rosenxt Group
Die Rosenxt Group spezialisiert sich auf die Entwicklung innovativer Technologien in der industriellen Diagnostik und Anlagensicherheit. Mit einem starken Fokus auf Forschung und Entwicklung bietet die Firma maßgeschneiderte Lösungen für komplexe Herausforderungen.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Full Remote, Hybrid, Onsite
- Branche
- Elektronik, Automatisation
Data Scientist
- Ort
- Osnabrück
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
