Sr. Data Scentist

Job Description:

Rakuten International oversees 7 businesses with over 4,000 employees globally. The brand is recognized for its leadership and innovation in e-commerce, digital content, advertising, entertainment and communications, bringing the joy of discovery and access to more than 1 billion members across the world. Our teams deliver on the company’s mission to delight merchants and customers through innovation, optimism, and teamwork.

Rakuten Advertising provides advertising technology and consumer insights to the world’s leading brands and retailers. Working with agencies and brands around the world, Rakuten Advertising unites technology, client strategy and consumer insights to deliver advertising experiences that drive increased brand awareness and marketing performance. With access to Rakuten’s diverse media properties and audiences, combined with an award-winning performance network and proprietary consumer research, Rakuten Advertising creates the right conditions to reach new customers and sustain long-lasting loyalty.

Job Summary:

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

• Behavioural analysis and performance prediction

• Data Management

• Data Analytics

Key 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 the 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.

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: (Knowledge, Skills, Abilities)

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, 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