Job Description:

Why should you choose us?
Are you interested in working for a Global Leader in E-commerce? Are you excited about working on highly scalable platforms and applications that are accessed by millions of users every day? If so, read on to find out more aboutthe opportunity. Rakuten Symphony is a Rakuten Group company, providing global B2B services for the mobile telco industry and enabling next-generation, cloud-based, international mobile services. Building on the technology Rakuten used to launch Japan’s newest mobile network, we are taking our mobile offering global. To support our ambitions to provide an innovative cloud-native telco platform for our customers, Rakuten Symphony is looking to recruit and develop top talent from around the globe. We are looking for individuals to join our team across all functional
areas of our business – from sales to engineering, support functions to product development. Let’s build the future of mobile telecommunications together!
About Rakuten Rakuten Group, Inc. (TSE: 4755) is a global leader in internet services that empower individuals, communities, businesses and society. Founded in Tokyo in 1997 as an online marketplace, Rakuten has expanded to offer services in e-commerce, fintech, digital content and communications to approximately 1.5 billion members around the world. The Rakuten Group has over 27,000 employees, and operations in 30 countries and regions. For more information visit https://global.rakuten.com/corp/.

Job Summary:
This role combines the responsibilities of a Data Engineer and a Data Scientist, with a specialization in either data engineering or data science.



The Data Engineer/Data Scientist will be responsible for building and maintaining the data infrastructure required to support AI/ML initiatives, as well as developing and deploying machine learning models to solve business problems. This role requires a strong understanding of data engineering principles, machine learning algorithms, and statistical modelling techniques. To be successful, ideal candidate will also have strong communication skill to spear heading discussion with business user to understand the problem and design AI solution.

Mandatory Skills:
• Programming language (Python, SQL, Java/Scala)
• Data Engineering Tools (Spark, Hadoop, Kafka, Airflow)
• Machine Learning Frameworks (TensorFlow, PyTorch, scikit-learn)
• Cloud Computing Platforms (AWS, Azure, GCP)
• Data Visualization Tools (DOMO, Tableau, Power BI)
• Statistical Modelling Technique
• Strong analytical and problem-solving skills

Roles & Responsibilities:
• Collect, clean and analyse data to identify pattern and insights
• Develop and implement machine learning models to solve business problems
• Design, build and maintain data pipelines to ingest, process and transform large datasets
• Develop and implement data warehousing solutions




• Optimize data infrastructure for performance and scalability
• Ensure data quality and integrity
• Evaluate model performance and identify areas for improvement
• Deploy models to production and monitor their performance
• Communicate findings and recommendations to stakeholders

Job Requirement:
• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience in data engineering or data science.
• Strong programming skills and experience with data engineering tools and machine learning frameworks.
• Experience with cloud computing platforms.
• Experience with RDMS and Vector DB.
• Excellent analytical and problem-solving skills.
• Robust communication and collaboration skills.
• International certification in statistics or AI/ML fields is a plus.

RAKUTEN SHUGI PRINCIPLES:
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.
• Be 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 success in unknown territory.
• Maximize Customer Satisfaction. The greatest satisfaction for workers in a service industry is to see their customers smile.
• Speed!! Speed!! Speed!! Always be conscious of time. Take charge, set clear goals, and engage your team.

📌 Technical Lead, Data Science (Bengaluru)
🏢 Rakuten
📍 Bengaluru