Sr. Data Scientist – Traffic Simulation and Street Optimization(m/w/x)

Description

You will push the frontiers of AI-assisted urban planning by leading a research-oriented team to develop next-generation traffic simulation tools and state-of-the-art geospatial models.

Requirements

• •5+ years software development experience in C++ or Python
• •R&D experience in multimodal traffic simulation
• •Willingness to develop expertise in specific areas
• •Knowledge of traffic simulation and ML optimization
• •Knowledge of Machine Learning and AI models
• •Knowledge of Ubuntu, Docker, and cloud computing
• •Knowledge of GIS and 3D modeling tools
• •Strong analytical problem-solving skills and research experience
• •Excellent written and verbal communication skills
• •Bachelor’s degree in Computer Science or related field
• •Existing work authorization in Switzerland
• •Experience in processing large spatiotemporal data
• •Knowledge of NVIDIA RAPIDS and PyTorch Geometric
• •Experience in leading research or software groups
• •Master’s degree or higher in related field

Tasks

• •Design and deploy traffic simulation and street optimization products
• •Lead a team of software and product engineers
• •Develop scalable cloud-based simulation and inference services
• •Guide MLOps, CI, and numeric study implementations
• •Integrate security, federation, and billing systems
• •Collaborate with Product Management on offering strategies
• •Define requirements for training and inference datasets
• •Validate data licenses and usage with legal teams
• •Manage the product lifecycle and release synchronization
• •Review technical documentation and ensure backward compatibility
• •Represent the company at international scientific and industry events
• •Author scientific publications, blog posts, and journal articles
• •Research state-of-the-art developments in generative neural networks
• •Collaborate with R&D teams on geospatial foundational models
• •Solve complex design and development problems

Tools & Technologies

Benefits