Using Machine Learning to predict device usage
We are a cool Dutch startup founded by two experienced ad-tech entrepreneurs. Our focus? Helping advertising technology vendors to understand what (connected) devices belong to the same person.
On a daily basis we process many TB’s of log level data, sent to us from partners from all over the world. Dutch data? Check! UK data? Check! US data? Check! Currently we apply a mix of statistical analysis and pattern matching to this data to find matches on a granular level. This means that we sift through hundreds of billions of lines every day, and extract the most accurate matches.
And at that moment our heads began to spin.
Besides massive amounts of data, we have quite a sizeable truth set available. This set of confirmed cross-device matches can be your holy grail.
Within Screen6 we are therefore looking for a AI / ML guru who’s willing to sift through these vast amounts of data, and create a new ML algorithm that will find match patterns by itself while getting an ever increasing level of accuracy.
What we offer
We are a small startup, based in the center of Amsterdam. You’ll be able to work from our office, enjoying complimentary coffee, tea and… beer. Did we tell you about the foosball table? Within our company there is a vast amount of knowledge available in regards to advertising technology, statistics and international business. We have partners throughout the world, who help us to leverage all this data. We will be able to support you every step of the way, but we also expect to learn from you!
Yes, you should know ML. You should love to build stuff in ‘the cloud’ (or on your own laptop, whatever you prefer). Also you should at least be in your 3rd grade of AI. We are open to consider any choice of programming language or platform.
Screen6 is the future of identity management. Our cross-device ID technology helps leading brands, agencies and platforms precisely understand their audience. The Screen6 technology allows marketers to measure reach and frequency more comprehensively, gain insights into cross-device attribution, allow for targeting at scale, and frequency cap across channels.
We believe that advanced audience identification will drive the growth of advertising and...