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We're looking for a talented and clever data scientist to join our team and help us push the boundaries of ad-serving analytics from our beautiful headquarters in Barcelona.
-Believe that to reach the limits of what can be done you have to explore the realms of what is impossible to do,
-Understand why someone might think that "Data Science" is a redundant term,
-Are amazing but down to Earth,
-Can take a good punch in the form of your colleagues' criticism,
-Are brilliant with probability and statistics,
-Hold a Master's Degree in a quantitative subject (Computer Science, Mathematics, Physics, etc.)
-Have 2 to 4 years of experience in a commercial or academic environment
-Eat feature engineering for breakfast and data manipulation for dessert,
-Are very good with R or Python,
-Can write SQL queries blindfolded and
-Know the basics of machine learning algorithms...
... we'd love to talk with you!
What will we consider a plus? Having previous experience as data scientist in an ad-network or similar role, know your way around Big Data-related technologies such as Hive and Spark, you can write java code, having worked with convolutional networks, master time series or you can sit down and code a gradient descend after an in-office barbecue next to our beer tap.
What will you be doing?
-You will join our Data Science team and work side by side with our developers, data engineers and BI analysts in several exciting projects.
-Further improve our ad-selection algorithm. We've come a long way, but we refuse to settle.
-Find third party data that can help our ad-matching process.
-Run ad-hoc analysis and provide analytics support to other departments when needed.
-Run A/B (and multiple) tests on a regular basis to assess the performance of the features we constantly deploy in production.
-Come up with new ideas we haven't thought of to improve any aspect of Billy's operations. The more creative, the better.
About Billy Mobile
Official website, founding date, employees, how did it all begin... Do you know the whole story?Tell Us!