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Rakuten International

Intern - Data Science

Paris, France

Job Description:

SUMMARY

At Rakuten Advertising, we're on a mission to revolutionize the Ad Tech and Affiliate business using cutting-edge technology. As a Data Scientist with us, you'll have the unique opportunity to work with an ocean of data - think hundreds of millions of data events daily! Your creativity and skills will help keep us at the forefront of the online advertising world.

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.
  • Big 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 Machine Learning and Deep Learning methods to build and improve our in-house tools and models.


  • Develop prompts for text generative AI to use their full potential for our needs.


  • Mine text and image content in 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 companywide on product requirements to maximize customer satisfaction and to build prototypes and features for 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 (NLP, LLM, Image Recognition, Prompt Engineering, Online learning Algorithm is a plus).


  • Good knowledge of Python and SQL.


  • Strong statistics and mathematical skills.


  • Good conversational and written English skills for presentation, documentation and discussion.

QUALIFICATIONS

  • Last year student from 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-1020232
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