PubNative

PubNative is a mobile monetization platform that enables app publishers to execute and enhance their revenue strategy through flexible ad units. With its native-first approach, proprietary cross-format optimization technology and mobile header bidding solution, PubNative enables mobile publishers to maximize their programmatic advertising revenue. The company is headquartered in Berlin and it was founded in 2014. Company consists of 51-200 employees.

PubNative Germany
09/10/2018
Full time
PubNative is a mobile monetization platform that enables app publishers to execute and enhance their revenue strategy through flexible ad units. With its proprietary cross-format optimization technology and mobile header bidding solution, PubNative enables mobile publishers to maximize their programmatic advertising revenue. The company is headquartered in Berlin with offices in San Francisco, Seoul, and Beijing. Our system consists in a Go API, iOS SDKs, Rails 5 and ng5 dashboard, Scala and Spark data pipeline running on a Mesos and K8S cluster. We are looking for a   Data Scientist (m/f)   to join our team in our Berlin office. Your responsibilities: You uncover new opportunities to improve how we serve our users You build predictive systems that take optimized decisions and learn on the fly You assist with product direction by bringing in innovative ideas generated through data mining and data modeling You do the research and develop advanced statistical and machine learning algorithms for classification, prediction, clustering and optimization within the ad tech context You build scalable pipelines processing large amounts of data, in short periods of time You own the complete process, data collection, processing, testing and implementation You run A/B tests in a live system Our requirements: 3+ years of relevant work experience as a Data Scientist in a product environment Experience with streaming data pipeline based on Spark (Scala or Python) Curiosity & creativity to discover exploitable patterns in datasets and design experiments to verify hypotheses Understanding of modern machine learning techniques: e.g. random forests, gradient boosting methods, familiarity with common frameworks like scikit-learn, MLlib Comfortable using version control and AWS SQL and databases knowledge, experience with open source data warehousing systems such as Presto, Impala, Hive Degree in Informatics, Statistics, Computer Science or any other Data related study field, experience with Advertising Technologies What do we offer? Reimbursement of the public transport monthly cards (company BVG abo) Reimbursement of your private telephone bill (20€ after tax) A day off on your birthday Opportunity to attend industry events and conferences Team events