The role involves executing medium to large analytic projects while collaborating with stakeholders to address business challenges. Responsibilities include building, automating, and deploying interpretable predictive models while assisting clients with model execution and result evaluation. The position requires defining analytic scope and methodology, creating project plans, and providing thought leadership on statistical solutions. Additionally, the role entails analyzing client data to extract insights, creating dashboards, and proposing further analysis to improve business performance. The individual will work as an independent contributor and provide guidance to other team members when necessary.

Candidates must possess at least five years of analytical experience applying statistical solutions to business problems. A graduate degree in computer science, physics, statistics, mathematics, or a related quantitative field is required, though equivalent experience is accepted. Proficiency in processing large data sets using Hive and fluency in multiple programming languages, including at least one compiled language, are necessary. Applicants must demonstrate experience with various machine learning techniques and possess Unix or Linux proficiency. Additionally, native-level Japanese and business-level English proficiency are required, along with experience collaborating with business functions.