Valerann is an exciting, rapidly growing AI mobility scale-up. We are a diverse and driven team that is making the road-based transport sector safer, greener, and more equitable through our unique AI and data analytics platform.
We work with governments and the world’s largest road operators to make our roads safer, greener, and less congested. Our product already serves roads in Europe, the US, Latin America, and the Middle East and helps road traffic authorities to have a good understanding of real-time traffic conditions and risks.
We do that through data, a lot of data. Our algorithms constantly ingest and process very large sets of structured and unstructured data coming from a broad range of disparate data sources, including connected vehicles, cameras, and crowdsourcing platforms. Our know-how is in deep data fusion and analytics. Our passion is to empower our customers with the tools to use that data to make our journeys safer and greener.
We have made tremendous progress to date, and we need your help to support our growth.
Job Description
We are looking for a data scientist to be part of our research effort and help push forward the state-of-the-art in intelligent transport data. Your responsibilities will include: Working across our incident, accident risk, weather analytics, and traffic data pipelines. Contribute to our research work into data fusion models. Rapid prototyping, testing, and trying out new ideas. Develop and improve our production services. Our data scientists are expected to directly contribute to our code base, working with backend developers and data engineers. Work with product managers and customers to identify and foresee data challenges.
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We are looking for a data scientist to be part of our research effort and help push forward the state-of-the-art in intelligent transport data. Your responsibilities will include: Working across our incident, accident risk, weather analytics, and traffic data pipelines. Contribute to our research work into data fusion models. Rapid prototyping, testing, and trying out new ideas. Develop and improve our production services. Our data scientists are expected to directly contribute to our code base, working with backend developers and data engineers. Work with product managers and customers to identify and foresee data challenges.
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