Senior Data Scientist

vor 1 Woche


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Looking for new opportunities in one of Germany's top environmental tech startups? Air pollution is one of the biggest challenges of our times. This is why Hawa Dawa ("Air Medicine") was founded in 2016, with the vision to digitise and revolutionise the air quality management market. We are an interdisciplinary and growing team of professionals combining expert knowledge in air quality measurement, epidemiology, data science, clean mobility, business, software and IOT hardware. The foundation of our work is the data we generate for our customers: we pride ourselves in producing reliable and solid products that are relevant for air quality measurement, smart city products, new mobility services and more. Our headquarters are located in the heart of Munich, within walking distance to the Theresienwiese and very accessible with public transportation or bike. Hawa Dawa is a young clean-tech company with a big dream. You’ll be a part of a team founded on open-mindedness, enthusiasm and impact on the environmental health. You can find out more about us on our careers page. What you bring: - University degree in a technical field, - Previous experience developing machine learning algorithms for time series data from sensors in IOT sensor networks - Very good programming skills in Python - Good knowledge working with databases using SQL - Experience with MLOps in cloud-based systems, ideally using Kubernetes on Microsoft Azure - Knowledge of R would be advantageous - Research experience with air pollution sensors would be valuable - Any experience working with JavaScript/Typescript/Node.js/React is a plus, as we use these elsewhere in our stack


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