【Full Remote】Bilingual Data Scientistã€å¤§æ‰‹ãƒ—ãƒ©ã‚¤ãƒ ä¸Šå ´ã€‘

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