One of our top clients, a well-established company listed on the Tokyo Stock Exchange, is currently looking for a Data Scientist to join their growing data organization. Originally built on a strong foundation of consumer-facing digital services, the company has successfully expanded into high-impact domains such as Healthcare and Education (DX), addressing real societal challenges through technology. With a stable business base and continuous growth, they are now heavily investing in building advanced data capabilities to support analytics, machine learning, and data-driven decision-making across the organization. This position offers the opportunity to work closely with cross-functional teams including Product, Engineering, and Business, delivering actionable insights while contributing to the development of scalable and reliable data infrastructure. You will be part of a collaborative and international environment, playing a key role in shaping data-driven strategies and driving meaningful impact both at a business and societal level.

About the Role

We are looking for a Data Scientist to support large-scale data analysis, evaluate product and program performance, and enable data-driven decision-making across the organization. In this role, you will work closely with Product, Engineering, and Business teams to deliver actionable insights while also contributing to the development of reliable internal data infrastructure.

Responsibilities

Product & User Analytics Analyze user behavior and engagement trends Design metrics and analytical frameworks to evaluate feature performance Perform user segmentation and comparative analysis to support decision-making Create dashboards, reports, and concise presentation materials Machine Learning & LLM (Large Language Models) Develop and deploy models for prediction and segmentation Build feature pipelines and implement model monitoring (performance, drift, data consistency) Apply LLMs to real-world workflows (prompt design, tool usage, orchestration) Drive LLM adaptation (fine-tuning, RAG, instruction tuning) and evaluation (accuracy, robustness, bias/safety) Clearly communicate assumptions, constraints, and results to stakeholders Data Integration & Analytics Build and document integrated datasets from multiple data sources Establish consistent metric definitions and reporting standards (with strong focus on documentation and data catalogs) Collaborate with data engineers on data structures, tracking, and standardization Promote best practices in data governance and reproducible analytics

Requirements

Requirements Must-have Skills Advanced SQL skills and experience with large-scale data warehouses (e.g., BigQuery, Snowflake, Redshift) Proficiency in Python or R for data analysis and manipulation Strong understanding of statistics, experimental design, and trend analysis Ability to translate ambiguous or broad questions into structured analytical approaches Ability to work independently, validate assumptions, propose next steps, and lead analytical efforts within projects Strong written and verbal communication skills Preferred Skills Experience with BI tools (e.g., Looker, Tableau, Power BI) Experience in data integration, metric standardization, documentation, and data catalog development Hands-on experience across the LLM lifecycle (model selection, fine-tuning/adaptation, prompt design, evaluation, deployment, monitoring, etc.) Language Requirements English: Ability to use English as the primary working language, and independently engage in technical discussions and complex problem-solving with multinational teams (native level not required, but high fluency expected) Japanese: Business-level proficiency, with the ability to communicate effectively with domestic stakeholders, explain technical concepts clearly, and facilitate smooth alignment

Benefits

Benefits Employment Type: Full-time Working Hours: Flextime system (no core time) Work Style: Fully remote Salary and Conditions: Up to 7 million yen