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Intern, Data Science

AT Rakuten International
Rakuten International

Intern, Data Science

Paris, France

Job Description:

SUMMARY

At Rakuten Advertising, Data Scientists implement the next generation of Machine Learning technology 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 and Affiliate business.

The objective of our team is to suggest solutions to the problematics inherently linked to the online advertising ecosystem with a priority on affiliate advertising. Coupling a willingness to understand the business' inner-workings to the use of the latest technologies, we have worked on topics that range from forecasting to recommendation systems, and from anomaly detection to regression, all with the purpose of solidifying Rakuten Advertising's position as a leader in online advertising.

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The development of these solutions is closely related to several fields of study:

  • Machine Learning and Statistics.
  • Customer behavior analysis and performance prediction.
  • Data Analytics.
  • Data Management.

Rakuten Advertising is looking for a Data Science Intern to join its teams in its Paris office for a 6-month internship.

KEY RESPONSIBILITIES

Explore both existing and latest Machine Learning and Deep Learning methods to build and improve our in-house models. Mine our internal advertising datasets and perform practical statistical analysis to identify new relevant indicators and business trends. Design (and supervise) experiments and draw significant conclusions aimed at improving our understanding of the affiliate business. Collaborate company wide on product requirements to maximize customer satisfaction and with Software Engineers to deploy scalable/monitored models while maintaining a clean codebase. Effectively communicate your analysis and findings through interactive visualizations, documents, and presentations. Write detailed and precise documentation of your work.

MINIMUM REQUIREMENTS (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 (Deep Learning is a plus). Good knowledge of Python and SQL. Strong mathematical skills. Good conversational and written English skills for presentation, documentation, and discussion.

QUALIFICATIONS

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

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

Client-provided location(s): Paris, France
Job ID: Rakuten-RakutenAdvertising-1024192
Employment Type: Intern

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
    • Volunteer Time Off
    • Summer Fridays
  • Financial and Retirement

    • 401(K) With Company Matching
    • Company Equity
    • Stock Purchase Program
    • Performance Bonus
  • Professional Development

    • Tuition Reimbursement
    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Work Visa Sponsorship
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)
    • Asian founded/led