Data Scientist

Contenu de l'offre Data Scientist chez Rakuten Marketing

Our Data Science team in Paris works at developing new Machine Learning algorithms for acquiring audiences and maximizing advertisers' revenue.

Given the massive volume of information we have, traditional data processing methods are of limited help. This complexity calls for new technologies to efficiently analyse large sets of data and determine the statistical models that could most accurately predict the performance of our online marketing campaigns. The development of such technology is closely related to several fields of study:

Machine Learning modelling and Statistical simulation Behavioral analysis and performance prediction Data Management Data Analytics Rakuten Marketing is looking for a Data Scientist to join its teams in Paris.

Responsibilities:
Explore new Machine Learning methods to improve our prediction and real-time bidding pricing models. Mine our navigation and advertising datasets and perform sophisticated statistical analysis to identify new relevant indicators and business trends. Build predictive models to improve advertising campaigns performance. Cross-collaborate with engineers on building statistical models, applying Machine Learning techniques for targeted solutions and effectively communicating the analysis and findings through interactive visualizations, documents and presentations. Write detailed and precise documentation of your work. Qualification:
Graduated from a Scientific or Engineering School or a Master's program in Machine Learning, Statistics, Mathematics or Applied Mathematics. Interest in e-commerce and new technologies. Experience in using Machine Learning methods and in statistical computing and modelling. Experience with a statistical tool adapted to big data analysis and Machine Learning, such as Python, R or Matlab. Knowledge of SQL or Java and Computer Science skills are a plus. Strong mathematical skills. Very good English skills. Benefits

Health Insurance covered at 100% and lunch vouchers Forward-thinking adtech company Open-plan office, fostering a culture of collaboration Subsidised weekly drinks and healthy (or not) snacks Breakout area with table football, an Xbox and other entertainment Frequent social events Annual company trip: last one was a ski trip in Les Arcs 1950 Strong intercultural work environment