SpaceKnow provides transparency to global changes and trends by combining the world’s largest collection of satellite imagery with a proprietary artificial intelligence engine. Our vision is to index the physical world and empower users with near-realtime large-scale analysis to drive decision making.

SpaceKnow has two distinct products: a web-based, on-demand geospatial analytics platform (also available through API), as well as a growing suite of economic index offerings delivered through Bloomberg.

Join a team of passionate Data Scientists to advance the state of the art in novel machine learning approaches and data science tools for processing satellite images!

You should have a proven track record of creatively solving difficult problems and you should enjoy spending your time writing code and producing results. Having an experience with big data analysis, image processing, deep neural networks and cloud computation is a great plus.

Responsibilities:

• Applied research in the context of development and evaluation of macroeconomic indices on the basis of remote sensing (Big Data)

• Design and implementation of statistical models

Key qualifications:

• Strong economic background

• Experience with macroeconomic indices advantage

• Strong background in statistics

• Ability to perform evaluation of statistical models

• Statistical programming skills

• Self-motivated, creative, willing to learn and solve challenging tasks

• Experience with Big Data analytics advantage

Joining Spaceknow, you will join a young team of talented and highly motivated people who strive to make an impact on the world but also have fun along the way.

Do not hesitate to send links of your contributions to FOSS projects or of any other relevant work.