Daniel Marcous is a Data Wizard, working on making magic with data and turning information into gold. Daniel is an expert data scientist & data engineer (believing these roles are intertwined) and a leader in large scale and production ready machine learning applications. Covering all aspects of a modern world data oriented application Daniel regularly does data architecture, data science, scale engineering, A/B testing and implementing it all via data pipelines. Daniel is currently a Data Wizard (leading data science applications) @Google-Waze, tackling the challenges the world of transportation has to offer, including some of crowd's favourites ETA and route choosing @Waze. In a previous life, Daniel introduced big data to the IDF (from the inside), making it one of the early and most successful adopters of tech such as Spark, Lambda Architecture, recommendation systems and anomaly detection at scale.