Job Description:
At Rakuten, we pride ourselves on providing 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. Please visit rakuten.us and our Muse profile to learn more about Rakuten's culture and values.
Business Unit Introduction:
Our Technology Services Division (TSD) is at the forefront of Rakuten's AI and Data initiatives, playing a pivotal role in enhancing the user experience and operational efficiency across our diverse portfolio. We are dedicated to developing cutting-edge services in areas such as Search, Recommendation, Advertising and Marketing Optimization, Inventory and Price Optimization, Data and Analytics, Conversation AI, and Rakuten AI for Business. Our team is passionate about incubating new ideas and laying the groundwork for the future.
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We are excited to offer a unique program designed for college students passionate about AI and Data Science. This program is an excellent opportunity for those who are eager to apply their academic knowledge to real-world challenges, gain hands-on experience, and contribute to pioneering AI and Data projects within Rakuten.
This program is not only about learning technical and product skills but also about pushing boundaries, being proactive, building relationships, and connecting technology with business and users. It offers a unique blend of bold innovation and thoughtful execution working with members across our global remit, underlined by a commitment to community contribution and personal growth.
Join us at Rakuten to embark on a journey of learning, innovation, and contribution. Together, we can explore the vast potential of AI and Data Science to enhance our services and impact the world positively.
KEY RESPONSIBILITIES
- Collaborate with data scientists and engineers to research and develop advanced data analytics, causal inference, and machine learning solutions to power the business and product innovations.
- Conduct in-depth research to address complex data-related challenges.
- Work on projects that have a real impact on our products, services, and business strategy.
- Design (and supervise) experiments and draw significant conclusions aimed at improving our understanding of the 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.
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.
- Knowledge and proficient in SQL, Python and R
- Proficiency in big data query/processing languages and tools such as SQL, Hive, Spark, or Airflow
- Knowledge of cloud-based data platforms such as AWS, Azure, or GCP is a plus
- Familiarity with algorithmic scalability, including numeric approximation and sketching
- Passion for applying scientific rigor to advance dynamic consumer products
- Experience in developing production solutions is a plus
- Strong statistics and mathematical skills
- Strong analytical and quantitative problem-solving ability, and conceptual skills
- Excellent communication (written and verbal) skills, collaboration skills and is a team player
- Ability to prioritize tasks to meet deadlines
- Ability to work independently and collaboratively in a team
MINIMUM REQUIREMENTS
- Currently enrolled full-time and pursuing a bachelor's degree in Machine Learning, Statistics, Mathematics, Applied Mathematics or related field
- Relevant prior internship experience is a plus.
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.