Job Summary
Our Data Science team in Paris is at the forefront of developing cutting-edge Machine Learning algorithms aimed at acquiring audiences and maximizing advertisers’ revenue. Given the massive volume of information we handle, traditional data processing methods fall short. This complexity necessitates the use of new technologies to efficiently analyze large datasets and determine the statistical models that can most accurately predict the performance of our online marketing campaigns. This role is closely related to several fields of study, including:
- Machine Learning modeling and Statistical simulation
- Behavioral analysis and performance prediction
- Data Management
- Data Analytics
Key Responsibilities
- Explore new Machine Learning methods to enhance 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 the performance of advertising campaigns.
- Collaborate with engineers to build statistical models, apply Machine Learning techniques for targeted solutions, and effectively communicate analysis and findings through interactive visualizations, documents, and presentations.
- Write detailed and precise documentation of your work.
Minimum Requirements
- Graduated from a Scientific or Engineering School or a Master's program in Machine Learning, Statistics, Mathematics, or Applied Mathematics.
- Strong English skills.
Qualifications
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 modeling.
- Experience with a statistical tool adapted to big data analysis and Machine Learning, such as Python, R, or Matlab.
- Strong mathematical skills.
- Knowledge of SQL or Java and Computer Science skills are a plus.
- Familiarity with at least one Deep Learning framework (PyTorch, Tensorflow, etc.).
Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success:
- Always improve, Always Advance - Only be satisfied with complete success - Kaizen
- Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
- Hypothesize - Practice - Validate – Shikumika - Use the Rakuten Cycle to succeed in unknown territory
- Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
- Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team
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