At GRASP Innovations we are obsessed with inefficiencies, especially those within aviation security. We love to travel but hate standing in line unnecessarily (standing in line in general actually) and are convinced a combination of smart technologies and data handling products can help solve this.
Our security checkpoint management system is an effective tool to manage daily operations and enables deep performance analyses within airport security checkpoints. It combines granular data gathered through our IR-UWB radars and in-depth knowledge on a complex process into a unique solution. We currently have a first product and are deploying our first customers. We’re looking for someone to take our application to the next level. It’s an all-round position at an early stage start-up where you identify and analyse trends or patterns in large data sets and assist in building feature updates to bring this information to our end users.
We’re looking for a Junior Data Scientist to join our growing team. You will be working with market leading airports, security companies and technology integrators.
We have recently raised funding which enables us to accelerate the development of our solutions and bring more powerful and effective solutions to the aviation security industry. This also means that in this role you’ll have the freedom and responsibility to help shape our future.
Identify and analyse trends and patterns in data sets containing measurements from our fleet of IoT IR-UWB radar devices and other (external) operational data. Develop models and algorithms to highlight these trends and patterns and make the corresponding insights available for our GCP cloud infrastructure. Updating cloud infrastructure for development, testing and production environments, including implementation of machine learning feature. You’ll be directly working with the founders and BI-Developer(s), you’ll take ownership of:
GRASP Innovations offers solutions to the Aviation security industry; a traditional workforce driven business that requires automation in order to be sustainable in the future. We are convinced that optimising processes does not have to come at the expense of experience and that tasks that are more suitable for technology, should be executed by technology.
Send your application to firstname.lastname@example.org
Please include your CV and a cover letter (or anything other relevant you’d like to share with us)