Lead Research Scientist (Credit Scoring, Customer Program): RIT
Rakuten
Tokyo, Japan
2 日前

Job Description :

Rakuten is the one of the largest internet services company globally and provides more than 70 services spanning eCommerce, finance, telecommunication, sports and much more to approx.

1.4 billion customers worldwide. Following the strategic vision Rakuten as a data-driven membership company , we are expanding our data activities across our multiple Rakuten group companies.

Credit scoring is one of crucial research topics across Rakuten Group (Mainly in our fintech businesses such as credit card, payment, securities and banking business).

Research scientist (Credit Scoring) applies machine learning, data mining and optimization techniques to solve challenging problems, build models and solutions regarding credit scoring related projects.

Our solution includes scoring for both business clients and individual users.We collaborate closely with business team, engineering team, listen to business requirements, develop and scale up algorithms, implement prototype and support deployment in production environment.

Our research topics are machine learning, deep learning, data mining and probabilistic modeling, etc. We are looking for talented research scientists with experience and strong motivation to join our team.

Responsibilities : - Define scientific problem in credit scoring field while aligning with business requirements through communicating with stakeholders (business and engineering teams)- Create and support business outcomes, and acquire budget commitment from businesses for research and development of products from the research- Communicate with Rakuten Fintech companies to agree on the directions and implementations of ideas-Develop and state-of-the-art algorithms, implement prototypes- Lead research scientists developing algorithms and solution for credit -Collaborate with researchscientists in other research areas to maximize added value-Support engineering teams to adapt prototypes in production-Follow up project status in production and iteratively upgrade the solution if necessary Minimum Qualifications : -Doctoral degree in computer science, mathematics, physics, finance,econometrics or equivalent practical experience-Strong publication record in the area of data mining and knowledge discovery, machine learning, finance and / or econometrics- English fluency for communicating with researchers, engineers and business people-Strong programming experience in one or more of the following : Python, R, Scala, Java, C, C++, Ruby-Experience with data processing and feature engineering- Challenging spirit for new technologies, research problems and services Preferred Qualifications : -Passion for contributing to businesses by applying innovative solutions to real world problems- Proficiency in communicating in Japanese with stakeholders in Rakuten Fintech companies- 3+ years of industry experience especially in finance or customer analytics-related fields (Quants, Actuary, Data Scientist,.

  • 2+ years of experience leading a team of scientists-Development experience in Unix / Linux environment-Experience in distributed computing such as Spark and Hadoop
  • Languages :

    English (Overall - 4 - Fluent)

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