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東京都のデータサイエンティストの求人210件応募資格・募集要項・仕事内容を見る
Data Scientist: Industrial AI & Digital Twin
- 給与
- 記載なし
- 勤務地
- 東京都
- 休日
- Annual paid leave (10 days provided in the first year * Variable depending on joining date)
- 雇用形態
- 正社員
どんな仕事かAIによる生成
Join the Connected Services team to work on an AI and Digital Twin project for a major Japanese power company. The role involves developing and improving predictive and optimization models for industrial operations, supporting live-plant validation, and developing reusable solutions.
この求人に応募
応募資格
必須
- Around 6+ years of hands-on Data Science / Advanced Analytics experience.
- Strong Python and Machine Learning skills.
- Experience applying analytics or optimization techniques to industrial or operational processes.
- Ability to define technical requirements and communicate solutions to both technical and business stakeholders.
Language Requirements:
- English: Advanced Business Level (Able to independently handle meetings, presentations, and discussions with clients and internal stakeholders)
- Japanese: Conversational / Basic Reading and Writing Level (Able to handle daily conversations, simple reading and writing, and basic business communication)
歓迎
- Experience with Digital Twins, Industrial IoT, Deep Learning, Energy, Utilities, Manufacturing, or Process Industries.
- Experience working directly with customers or coaching technical teams.
募集要項最終確認 10/22
- 職種
- データサイエンティスト
- 雇用形態
- Regular Employee
- 給与
- 記載なし
- 給与の詳細
- Annual salary: *will be decided in consideration of candidates’ experiences and abilities.Discretionary labor allowance: 60,000 JPY - 80,000 JPYOvertime work allowance: By ordinary (Paid according to overtime working hours)Salary raise: YesPremium: Yes
- 手当
- Discretionary labor allowance60,000 JPY - 80,000 JPYOvertime work allowance
- 勤務地
- 東京都
- 働き方
- Hybrid Working Style (TCS Office/Remote)オフィスとリモートでのハイブリット
- 勤務時間
- Working hours classification: Deemed working hours systemCategory of deemed working hours system: Discretionary labor system for professional workDeemed working hours per day: 8hrs9:00 - 18:00(Actual working hrs: 8hrs /Flex time system/ Core time: 10:00 - 16:00)
- 休日・休暇
- Annual paid leave (10 days provided in the first year * Variable depending on joining date)Two days off every week (Sat, Sun)Public holidaysYearend and new year holidaysCongratulation or condolence leavenursing leave
- 福利厚生
- Asset-building savings, Company pension, Cafeteria plan (selection-based corporate member welfare service)Only regular employee is eligible for Asset-building savings and Company pension.Corporate membership facility (Athletic club, Onsen resort house, hotel accommodations, etc.)
- 社会保険
- Medical insurance, Welfare pension, Employment insurance, and Industrial injury insurance
- 経験年数
- 6年以上
- 掲載日
- 2026/10/22 16:11（1日前）
- 最終確認
- 2026/10/22 23:30（1日前）
仕事内容
About the Role
- Join our Connected Services team and work on an advanced AI and Digital Twin project for a major Japanese power company. You will help enhance predictive and optimization models for industrial operations, validate solutions through live-plant trials, and develop reusable frameworks for future deployments.
What You’ll Do
- Develop and improve machine learning and predictive models using Python.
- Perform EDA, feature engineering, model tuning, validation, and sensitivity analysis.
- Enhance optimization frameworks and evaluate optimizer results.
- Translate operational requirements into practical AI/analytics solutions.
- Support live-plant validation, root-cause analysis, and continuous model improvement.
- Participate in customer discussions and clearly explain technical solutions.
- Review code and support standardization and reusable solution development.
Why Join This Role?
- This is an opportunity to combine Data Science, AI, optimization, and Digital Twin technologies with real industrial operations. You’ll work across the full lifecycle, from solution design and model improvement to live validation, while building expertise toward future roles such as Data Science Technical Lead, AI/ML Architect, or Analytics Project Manager.
この求人は、日本タタ・コンサルタンシー・サービシズ株式会社の採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト
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募集元の採用ページから応募できます
応募は日本タタ・コンサルタンシー・サービシズ株式会社の採用ページで受け付けています。このページは採用ページの掲載内容をもとに構成しているため、最新の応募条件は募集元でご確認ください。
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- データサイエンティスト290
- 東京都のデータサイエンティスト210
- テック14,983
- AIエンジニア442
- データエンジニア430