_Are you a data scientist, and love what you do? Would you like to be a part of a _ **_global_** _ customer facing Team focused on solving complex, real-world business problems? Would you like to be a part of a community of technical leaders, highly_ _specialised_ _in their disciplines and working together as one to bring the best practices of engineering and architecture to_ _world’s_ _largest enterprise customers?_    The  **Industry Solutions Delivery**  (ISD)  **Engineering & Architecture**   **Group**  (EAG) is a global consulting and engineering organization that supports our most complex and leading-edge customer engagements.  EAG enhances ISD’s technical capabilities, and partners with others to develop approaches, innovative solutions with engineering standards to set our sales and delivery teams up for success.  We provide consistent high-quality customer experience through technical leadership and IP capture centered on delivery truth. We are committed to Responsible AI, and we help our customers and partners build ethical, transparent and trustworthy AI solutions.   We are hiring a ** ** **Senior** **Data Scientist ** with experience in and passion for advanced statistical data analysis, and implementation of data science solutions in enterprises.  You'll work with high-impact professionals to solve complex problems for strategic customers and partners. You'll communicate trends and innovative solutions and collaborate cross-functionally within the Microsoft ecosystem, including product teams, research, security, solution strategy, industry excellence, and responsible AI.   Our team embraces a growth mindset and encourages diverse viewpoints. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact billions worldwide.  概要 あなたはData Scientistとして活躍されており、ご自身の仕事に情熱をお持ちですか？また、複雑で現実世界のビジネス課題を解決することに焦点を当てた、世界的な顧客対応チームに参加を希望されますか？さらに、高度に専門化された技術分野のリーダーたちが連携し、世界最大級の企業顧客に対して、エンジニアリングやアーキテクチャのベストプラクティスを提供するコミュニティの一員として活動したいと思われませんか？ **Industry Solutions** **Delivery（ISD）のEngineering** **& Architecture** **Group（EAG** ）は、最も複雑で先端的な顧客対応業務を支援する、国際的なコンサルティングおよびエンジニアリング組織です。EAGは、ISDの技術力を強化するとともに、他のチームと連携し、エンジニアリングの基準に基づいた手法や革新的なソリューションを開発することで、営業および成果提供チームの成功を支援します。 私たちは、デリバリーの実績を重視した技術的リーダーシップと知的財産の確保を通じて、一貫した高品質な顧客体験を提供しています。また、倫理的で信頼性の高いAIへの取り組みを重視し、顧客やパートナーが倫理的で透明性が高く、信頼できるAIソリューションを構築できるよう支援しています。 現在、統計データ解析における高度な経験と企業におけるデータサイエンスソリューションの実装への情熱をお持ちの **Senior Data Scientist** を募集しております。 本役職では、業界をリードする技術者とともに戦略的な顧客およびパートナーの複雑な課題を解決する機会があります。また、動向や革新的なソリューションを共有し、Microsoftエコシステム内での製品チーム、研究、セキュリティ、ソリューション戦略、業界エクセレンス、倫理的で信頼できるAIなどの部門を横断的に連携します。 当チームは成長志向を重視し、多様な視点や経験を持つメンバーを歓迎しております。個人および文化的な経験を尊重し、卓越性を目指しております。また、柔軟な労働環境を提供し、世界中の何十億人もの人々に積極的な影響を与える責任あるAIソリューションを創造をサポートいたします。 **Responsibilities** **​** **_Business Understanding and Impact: _** Guides and ensures good practice on engagements that employ data science to align with business needs and deliver value. Provides thought leadership and guidance to software engineering and business stakeholders on how to best include artificial intelligence and machine learning in systems development.  **_Data Preparation and Understanding: _** Leads data acquisition and understanding efforts for engineering projects using various tools and techniques that support the data science lifecycle. **_Modeling and Statistical Analysis: _** Develops and applies ML frameworks and best practices for scalable and ethical solutions.  **_Evaluation: _** Oversees review of data analysis and modelling techniques. Ensures selected modelling techniques are appropriate and align with desired project outcomes. Decides on next steps (e.g., deployment, further iterations, new projects).  **_Industry and Research Knowledge/Opportunity Identification: _** Provides feedback, drives improvement, and shares knowledge as a data science expert. Contributes to ongoing team learning by bringing relevant and leading edge concepts and approaches to the teams attention.  **_Coding and Debugging_**   Writes efficient, readable, extensible code from scratch that spans multiple features/solutions. Develops technical expertise in proper modeling, coding, and/or debugging techniques such as locating, isolating, and resolving errors and/or defects. Understands the causes of common defects and uses best practices in preventing them from occurring. **_Business Management_**   Collaborates with end customer and Microsoft internal cross-functional stakeholders to understand business needs. Formulates a roadmap of project activity that leads to measurable improvement in business performance metrics over time. **_Customer/Partner Orientation_**   Applies a customer-oriented focus by understanding customer needs and perspectives, validating customer perspectives, and focusing on broader customer organization/context. Promotes and ensures customer adoption by delivering model solutions and supporting relationships. Embody our culture and values **Qualifications** **Required/Minimum Qualifications** ** ** + Minimum of8 years (for those with Bachelor’s Degree /Master’s Degree) or 5 years (for those with a Doctorate) of experience as a data scientist implementing data science solutions, with experience in implementing projects in one or more areas amongst: Computer Vision, LLMs, Audio/Voice data processing, and Reinforcement Learning.  + Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field AND data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)  + OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience. + OR Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, Engineering or related field + OR equivalent experience.  + Business level Japanese and English language skills. Your success in this role will be achieved if you are comfortable interacting with external customers, are able to manage a complicated internal stakeholder group, and can demonstrate the following key knowledge, skills and experience:   + Hands-on software engineering experience (e.g. Python, C++).  + Proven skills and experience in a data science role.   + Familiarity with building and deploying largescale AI solutions into production within a cloud environment. Has experience in working with MLOps, LLMOps and frameworks like LangChain, Semantic Kernel and Prompt Flow. + Experience of working with customers, directly and independently, in ensuring that the proposed solution addresses the business needs – through all stages from solutioning to deployment into production.  Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .