Data Scientist
Job Summary
The Data Scientist will develop AI and machine learning solutions within a global enterprise environment. The role focuses on leveraging LLMs, big data, and cloud technologies to build impactful data products. You will collaborate across teams to translate technical models into business value.
Responsibilities
- Develop ML and AI product solutions
- Build and maintain data pipelines
- Implement and integrate LLMs
- Collaborate with cross-functional teams
Required Skills
- 4+ years of Data Science experience
- Python, pandas, scikit-learn, PyTorch/TensorFlow
- LLM API integration experience
- SQL and Big Data (BigQuery, Snowflake)
- Cloud platforms (AWS, GCP)
- Business level English and Japanese
Job Details
Job Description:
- 4+ years of relevant experience in data science, applied ML, or AI product development.
- Strong proficiency in Python and experience with ML/data libraries (pandas, scikit-learn, PyTorch/TensorFlow, etc.).
- Experience with programmatic use of LLMs via APIs (e.g., OpenAI, Claude, Gemini, open-source LLMs).
- Solid understanding of core ML algorithms and generative AI fundamentals.
- Experience working with SQL and big data environments (e.g., BigQuery, Snowflake).
- Familiarity with cloud platforms (AWS, GCP) for data pipelines and model deployment.
- Strong communication and visualization skills for both technical and business audiences.
- Ability to work in cross-functional, collaborative teams.
- Business Level English.
- English Level: Business Conversation Level (TOEIC 735-860).
- Japanese Level: Business Level (JLPT Level 2 or N2).
Benefits:
- Social Insurance
- Commuting/Transportation Allowance
- Relaxation Facilities
- Employee Stock Purchase System
- Education/Training
- Holidays: Five-Day Workweek, Summer Holidays, Winter Holidays, Refresh Holidays, Sick Leave, Paid Holidays, Child-care Leave.