At Rakuten Advertising, Data Scientists implement the next generation of Machine Learning technology in order to take advantage of the hundreds of millions of data events we receive every day. By doing so, they make it possible for our company to remain a worldwide leader in the Ad Tech business.

The purpose of Rakuten Advertising’s Data Science team is to develop models that will help acquire qualified audiences for our partners and optimize our Display Advertising ecosystem. To reach this goal, they work with the most sophisticated algorithms from Machine Learning and Deep Learning in topics that range from Clustering to Regression, and from Recommendation to Ranking and Optimal Allocation.

The development of such technology is closely related to several fields of study:

Machine Learning modelling and Statistical simulation
Behavioural analysis and performance prediction
Data Management
Data Analytics

Rakuten Advertising is looking for a Data Science Intern to join its teams in Paris.

KEY RESPONSIBILITIES

Explore new Machine Learning and Deep Learning methods to improve our prediction systems and real-time bidding strategies. Mine our navigation and advertising datasets and perform sophisticated statistical analysis to identify new relevant indicators and business trends. Build predictive models to improve online advertising campaign performance. Cross-collaborate with Software Engineers on building models and applying Machine Learning techniques at scale. Effectively communicate your analysis and findings through interactive visualizations, documents and presentations. Write detailed and precise documentation of your work.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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 or R. Knowledge of SQL or Java and Computer Science skills are a plus. Strong mathematical skills. Very good English skills.

QUALIFICATIONS

Last year student from a Scientific or Engineering School or a Master’s program in Machine Learning, Statistics, Mathematics or Applied Mathematics. Relevant prior internship experience (preferred) Eligible to a 6-month internship with an internship agreement.

resume screen/science logic codility test/45 min first round with computer pen & paper for test/final round presentation with prep time