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[Only 24h Left] Decision Scientist (Japanese Speaking)

[Only 24h Left] Decision Scientist (Japanese Speaking)

NeoRecruitIndia
3 hours ago
Job description

Job Title : Decision Scientist (Japanese Speaking)

Experience : 2-5 years

Location : Bangalore

Employment Type : Full-Time

Overview

Our client – one of the largest data science companies – is seeking to hire a Business Analytics / Data Scientist with proficiency in Japanese to work closely with their stakeholders in Japan. This role is critical in bridging the communication and cultural gap between the IT / analytics teams and business stakeholders, ensuring that insights and solutions are effectively understood, implemented, and adopted.

Your Responsibilities

  • Act as a bridge between Japan-based business stakeholders and global analytics / IT teams by effectively communicating requirements, insights, and recommendations in both Japanese and English
  • Translate business problems into analytical frameworks and identify opportunities where data-driven insights can impact decision-making
  • Collaborate with cross-functional teams to design and implement analytics solutions aligned with business goals
  • Document business requirements, analytical findings, and technical solutions in both Japanese and English

Required Skills & Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field
  • 2–5 years of experience in business analytics, data science, or consulting roles
  • Strong proficiency in Japanese (JLPT N2 or above) and professional fluency in English (verbal & written)
  • Hands-on experience with analytical tools and programming languages such as Python, R, SQL, or equivalent
  • Strong problem-solving skills with the ability to work in ambiguous, client-facing environments
  • Excellent communication and interpersonal skills; ability to influence stakeholders across cultures
  • Nice-to-Have Skills

  • Prior experience working with Japanese clients or in the Japan market
  • Exposure to cloud platforms (AWS, Azure, GCP) for data management and analytics
  • Consulting background with experience in consumer, healthcare industry
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