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.
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.
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
- Develop predictive models on large-scale datasets to address various business problems with statistical modeling, machine learning, and analytics techniques.
- Develop and implement scalable, efficient, and interpretable modeling algorithms that can work with large-scale data in production systems.
- Collaborate with product management and engineering groups to develop new products and features.
- Assist in testing and validating AI model performance and addressing any issues or bottlenecks in the software.
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.
- Good understanding of statistical modeling, machine learning, deep learning, or data analytics concepts.
- Proficient in one or more programming languages such as Python, Java, and C.
- Familiar with one or more machine learning or statistical modeling tools.
- 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 and pursuing a bachelor’s, master’s, or PhD degree in Computer Science, Computer Engineering, Machine Learning, or related field.
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.
Benefits Extracted with AI
- Equal employment opportunities
- Professional growth
- Hands-on experience
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