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Intern - Data Science

AT Rakuten International
Rakuten International

Intern - Data Science

San Francisco, CA

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.

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Job 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.

The Intern Experience:

At Rakuten, we pride ourselves on giving interns a genuine, immersive experience that has a direct impact on company objectives. You will do meaningful work, and with us, you'll be a true member of the team. We are also invested in your growth as an individual and professional. That's why you can expect curated events such as professional development workshops, interactions with Rakuten leadership, and relationship building opportunities with other interns and professionals at the company.

You can visit rakuten.us and our Muse profile, to learn more about Rakuten's culture and values, as well as hear from last year's interns.

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.
  • 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.

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 (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.

Minimum Requirements:

  • Degree in progress

At the time of posting, Rakuten expects the hourly rate for this role will be between $30 - $35 per hour. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location.

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

Rakuten provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. Rakuten considers applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetic information, protected veteran status, sexual orientation, gender, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

Client-provided location(s): Mission St, San Francisco, CA, USA; Chicago, IL, USA; Park Ave S, New York, NY, USA; San Mateo, CA, USA
Job ID: Rakuten-RakutenAdvertising-1025032
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