Proven Experience in data science: processing of real-time geo-spatial time-series data, using machine learning algorithms - clustering, regression, classification, deep learning.
Proven Experience in research and development in Python using libraries such as: numpy, pandas, scikit-Learn, tensorflow.
Highly proficient in SQL using databases such as PostgreSQL, MySQL, Athena, Redshift
Experience in big data processing using Kafka, Spark, Hive (or similar technology)
Developing user facing visualisation of our data and insights
Using high quality processes and tools (Github, Jira, Anaconda, D3JS, Grafana)
You should be a person who likes to work in a startup environment: dealing with uncertainties, working in a small team, taking initiatives, and finally, committed to our mission.
Someone who is passionate about transportation, excited about our vision, and would like to improve the safety and efficiency of our roads systems.
Someone who is not afraid of challenges and enjoys engineering complex systems
Someone who can identify MVP and develop the right product.
PhD degree in Computer Science or a related technical discipline, or equivalent practical experience.
Experience in signal processing: Filters, Spectral analysis, Matlab.
AWS cloud/Linux environment: IoT, Lambda, Docker and tools such as Terraform
Implementing security and data protection best practices
Experience in IoT, LoraWAN, Wireless networks