株式会社LegalOn TechnologiesのTECH-MI-104- Data Scientist - GenAI, Global Productの求人
募集概要
LegalOn is the world's leading AI contract review software provider, used by innovative lawyers and legal professionals at 6,000 companies and firms globally. Customers report significant improvements in review speed and quality. ■Job Description We are looking for a seasoned NLP Data Scientist with a specialty in legal data, geared towards product development and enhancement. Join our vibrant team at LegalOn, where you will play a pivotal role in transforming the landscape of legal technology. Your expertise in applying advanced generative AI and data science methodologies will be instrumental in evolving our product strategy and processes. You will work closely with executive leaders, Product Manager, ML engineer, and all other teams. As a key member of our team, you will be responsible for spearheading product design, implementation, and management, ensuring that our offerings remain at the cutting edge of technology. https://www.legalontech.com/ ■Key Responsibilities - Collaborate with legal teams, engineers, and product managers to integrate advanced NLP in legal document analysis and contract management. - Build legal data collection, processing, and integration pipelines for NLP model training and fine-tuning. - Develop NLP system evaluation methods, including manual annotation and authoritative legal content analysis. - Analyze legal text-related data often using advanced NLP tools. - Maintain data quality throughout the project lifecycle. - Analyze LLM model results to derive actionable insights for contract-related decisions. - Conduct experiments to assess LLM model performance and identify improvement areas. - Perform comprehensive evaluations of LLM models focusing on legal accuracy, fairness, compliance, and robustness. - Communicate effectively with internal stakeholders, presenting complex findings clearly and clearly. - Document work for audit and compliance and present findings to senior leadership.
必須スキル
Submission of an English résumé is required. ■Skills and Qualifications: Required Qualifications: - Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering, Linguistic, Economics, a related quantitative field, or equivalent practical experience. - 3 years of experience with NLP product analysis applications (e.g, text extraction/classification, sentiment analysis, statistical analysis), and coding (e.g., Python, R, SQL). - Fluency in English and teamwork abilities. - Business level of Japanese communication skills (JPLT N2 above)
歓迎スキル
■Preferred Qualifications: - Passion for effective NLP methods. - Experience in NLP. - Exceptional proficiency in big data transformation, especially Python and SQL. - Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) - Experience with prompt engineering for LLM model. - Solid understanding of probability and statistics. - Hands-on experience with product experimentation. - Understanding of decision science, with the ability to drive optimal choices based on available information while eliminating bias. - Excellent communication and interpersonal skills. - Ability to work independently and in a team environment. - More than fluent level of Japanese (JPLT N1 above) is a plus.
求める人物像
応募概要
- 給与
10.3 to 19 million yen per year
- 勤務地
19F, Shibuya Sakura Stage SHIBUYA TOWER, 1-1 Sakuragaoka-cho, Shibuya-ku, Tokyo 150-6219, Japan This is not a fully remote position across borders, and you are required to work in Japan.
- 雇用形態
Full-time
- 勤務体系
- Working hours: Full flex system without core hours - Overtime work beyond designated working hours: Yes - Break time: 1 hour
- 試用期間
3 months
- 福利厚生
- Holidays: Saturdays, Sundays, and National holidays - Time Off: Year-end and new year holidays, Paid leave, Special leave (Sick leave, Work-life balance holiday, Birthday holiday), Maternity leave, Childcare leave, Nursing leave - Social Insurance: Health insurance, Employee pension insurance, Unemployment insurance, Worker's compensation insurance - Language learning support - Technical book purchase support - Influenza vaccination support - No smoking indoors (smoking room available in the building) - Side jobs are allowed upon request
更新日時:
2025/05/07 06:07
