onsite
Data Scientist - Traffic Modeling - BAV Dienstsitz Aurich
Data Scientist
Data Scientist focused on traffic modeling, leveraging Python, machine learning, GIS and advanced data analysis to develop predictive models and optimize transportation systems.
About the role
Key Responsibilities
- Develop and validate machine learning models for traffic flow prediction and congestion analysis.
- Process and analyze large geospatial and temporal datasets using Python and GIS tools.
- Collaborate with transportation planners to translate model outputs into actionable insights.
- Design and maintain data pipelines, ensuring data quality and reproducibility.
- Communicate findings through reports, visualizations, and stakeholder presentations.
Requirements
- Master’s degree or equivalent in Data Science, Statistics, Transportation Engineering or related field.
- Proven experience with Python, SQL, and machine learning libraries (scikit-learn, TensorFlow, etc.).
- Strong background in GIS and spatial data analysis.
- Excellent problem‑solving skills and ability to work independently.
- Fluent in German and English, both written and spoken.
Skills
pythonmachine learningdata analysissql