Senior Data Scientist

Overview

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.

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。

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。

Senior Data Scientist を募集しております。

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。

AIソリューションを創造をサポートいたします。

Qualifications

Required / Minimum Qualifications

• Minimum of 8 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 :

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 and Benefits / perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect