Senior Data Scientist

4 weeks ago

Bengaluru, India Rakuten Symphony Full time

Why should you choose us?

Are you interested in working for a Global Leader in E-commerce & Technology? 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 about the 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


Job Overview:


We are looking for Senior Data Scientist who will play an analytical role researching, designing, implementing, and deploying full-stack scalable data analytics vision and AI solutions to challenge various business issues.


The ideal candidate will demonstrate deep understanding of statistical and machine learning concepts, a high standard for coding best practices, passion for pushing the team to improve their standard practices, technical skills for leveraging analytical tools to solve large scale problems and designing tools when they don't exist, technical aptitude to remain abreast with related science technologies, leadership in charting new analytical courses, and excitement to use iterative approaches to tackle long-term challenges


Your goal will be to help Rakuten Mobile Inc. analyze trends to make better decisions and enable the automation of the network operations and management.


Responsibilities:

  • Deep understanding of statistical and machine learning models.
  • Proven experience building models and placing models into production. Supporting implementation of advanced analytics in industry.
  • Resolving resolving issues at Data Platform.
  • Strong experience on VNF, Kr8 Platforms.
  • Experience with big data: extraction, processing, filtering, and presenting large data quantities (100K to Millions of rows) via Cloud technologies, SQL, and data pipelines.
  • Experience in optimization problems, and solving those problems at scale.
  • Presenting information using data visualization techniques.
  • Identify valuable data sources and automate collection processes.
  • Analyze large amounts of information to discover trends and patterns.
  • Build predictive models and machine-learning algorithms.
  • Combine models through ensemble modeling.
  • Propose solutions and strategies to business challenges.
  • Collaborate across different business unit and product development teams.


Requirements:

  • Strong Skills of Machine-Learning and AI.
  • Experience: 10-15 Years
  • Strong Knowledge of Python, PySpark, SQL, Flask; familiarity with data frameworks such as Hadoop, databases (PostgreSQL, MongoDB, YugaByte), understanding of cloud-native deployments and infrastructure.
  • Strong math / analytical skills (e.g. statistics, algebra).
  • Excellent communication and presentation skills.
  • MSc/BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or a quantitative field is preferred.
  • Experience in Data Mining.
  • Experience in Product Development.


RAKUTEN SHUGI PRINCIPLES:

Our worldwide practices describe specific behaviours 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.

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