Data Scientist - Intelligence, Surveillance and Reconnaissance (ISR)

At S[&]T we contribute to a safer life on Earth by translating space data into valuable and actionable insights. With this, we help organizations, governments and commercial entities to strengthen their information position and thereby improve their decision-making. We focus on 4 domains: Space & Science, Defence & Security, Environment & Sustainability and the High-Tech Industry. We control all levels of the data value chain from data source to user applications, and apply our expertise within our innovations, customer projects and talent acquisition services. Our headquarters are in Delft, The Netherlands and we have two satellite offices in Oslo, Norway and Rome, Italy with a total of 125 experts employed at S[&]T.

We are currently looking for a Data Scientist to join our team in Delft.

You will be working within the Defence & Security business unit, where we are working on innovative solutions that leverage space technologies. You will be active in the domain of Intelligence, Surveillance and Reconnaissance (ISR). In the ISR domain we are developing advanced satellite data processing solutions, both on-board satellites and on ground. These solutions include the employment of machine learning models to obtain insights from a variety of satellite-based sensors, such as hyperspectral and SAR. Common application areas include Defence, Space and Critical Infrastructure. This role involves studying and analyzing different sensor types and their data, designing and applying data pre processing and filtering techniques and designing and implementing machine learning models to obtain insights. Additionally, this position includes evaluation and analysis of results to assess performance of these models. This position provides the opportunity to design innovative solutions and contribute to product and service development in a dynamic, high-tech organization.

Responsibilities:

• Study, analyze and evaluate different types of satellite data, including but not limited to hyperspectral and SAR.
• Define and implement data pre-processing and filtering techniques to enhance data applicability.
• Implement data pipelines and labeling techniques
• Design and implement efficient machine learning models and other AI techniques to convert data into valuable insights.
• Support and guide colleagues in data science related developments.
• Lead data science tasks in projects.

Requirements:

• Master’s degree in Astronomy, Aerospace Engineering, Physics, Computational Science or a related technical field, or extensive work experience equivalent to these qualifications.
• Solid understanding of satellite data, including but not limited to hyperspectral and SAR.
• Programming experience in Python.
• Experience with machine learning platforms (PyTorch, TensorFlow) and data science tools (scikit-learn, numpy)
• Strong communication skills in English, both verbally and in writing. Dutch is an advantage.
• Affinity with working for Defence. Possibility to obtain security clearances (Dutch, NATO, EU) is a must.

Interested? Then click to apply or send your CV and motivational letter to [email protected].

Privacy Notice: In order to apply for this vacancy you must submit your personal information to Science [&] Technology. Science [&] Technology will collect, use, and process your personal information as mentioned in our Privacy Policy. Our policy and processing of your personal information are compliant with the GDPR.

Please note that if you do not hear back from us within 10 days of your application, you may assume that we have selected another candidate we would like to interview for this position. We do our best to get back to you individually, however, due to a high volume of responses, it can be that we have not been able to reject your application in person.

We kindly request that recruitment agencies do not contact us regarding this vacancy. We are not seeking assistance and will not be liable for any fees or charges associated with unsolicited CVs or candidate introductions. Any candidates submitted by agencies without prior written agreement will be considered our direct applicants and may be employed without obligation or fee.