Kobler makes around a hundred million bids each month, and plans to increase that number significantly. Since our beliefs about the current state of any auction is constantly changing, we believe our problems are very well suited for Bayesian statistics. We are looking for someone who enjoys deep dives into statistical analysis. Someone who wants to be a specialist in his or her domain.
As our Data scientist you will
Do statistical analysis on how we are bidding and suggest improvements
Code and test the changes we want to implement in the bidding algorithm
Measure any change we make in carefully controlled experiments
Contribute to the pipelines, validation and reporting of our bidding algorithm
Contribute on statistical analysis in other domains, especially A/B-testing and related performance analysis
Be part of a collaborative environment. Be a discussion partner, do code reviews, transfer knowledge and help your colleagues succeed
The key qualification we are looking for is strong skills in statistics or probability, preferably Bayesian statistics.
It is a plus (but not required) if you:
Have experience with working on real time data
Have experience from A/B testing
Are used to working in team based environments with version control and code reviews
Have strong programming skills, in particular in Python or JavaExperience with machine learning in production
Are familiar with SQLHave experience with cloud based solutions (especially AWS)
Have experience on bidding in online advertising or real time auctions