Principal Data Scientist

Do you enjoy solving problems, looking at challenges through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? 

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges. We work closely with our customers’ engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We pride ourselves in making contributions to open source and making our platforms easier to use. 

We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform. In this role, you will be working with engineers from your team and our customers’ teams to apply your skills, perspectives, and creativity to grow as engineers and help solve our customers’ toughest challenges. 

We are hiring a Data Scientist with deep experience in developing and employing statistical and machine learning techniques to deliver business results. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will work cross-functionally with several teams including crews, product teams, and program management to deploy business solutions. 

Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world! 

問題解決を楽しみ、異なる視点から課題に取り組み、お客様と密接に連携して複雑な問題に対する新しいソリューションを創生することに興味がありますか？トレンドを特定し、ユニークなビジネスソリューションを提供する機会に興奮しますか？新しい技術やソリューションについて学ぶことが日常業務の一部であるチームに参加したいですか？ 

Industry Solutions Engineering (ISE) チームは、最新技術を活用して最も困難な課題に取り組むお客様と直接連携するグローバルなエンジニアリング組織です。私たちはお客様のエンジニアやデータサイエンティストと密接に協力し、クラウドベースのソリューションのコードを共同で開発し、組織の加速を支援します。Microsoftの製品チーム、パートナー、オープンソースコミュニティと協力して、お客様がクラウドを最大限に活用できるように支援しています。私たちはオープンソースへの貢献とプラットフォームの使いやすさ向上に誇りを持っています。 

私たちはお客様と協力して、課題を解決するための革新的なソリューションを共同で開発します。この作業には、Microsoftプラットフォームに貢献する、広く適用可能で高い影響力を持つソリューションパターンやオープンソースソフトウェア資産の開発が含まれます。このロールでは、チームのエンジニアやデータサイエンティスト、お客様のチームと協力して、スキル、独自の観点、創造力を活かし、データサイエンティストとして成長し、お客様の最も困難な課題を解決する手助けをします。 

私たちは、統計および機械学習の技術を駆使してビジネス成果を提供することができる経験豊富なデータサイエンティストを募集しています。チームの一員として、エンジニアやデータサイエンティスト、戦略的に重要なお客様と協力して複雑な問題を解決します。ソフトウェアエンジニア、マイクロソフト製品チーム、テクニカルプログラムマネージャーなど、複数のチームとクロスファンクショナルに連携してビジネスソリューションをデプロイします。 

私たちのチームは、成長志向のマインドセットを受け入れ、卓越性を鼓舞し、全員が独自の視点を共有し、本来の自分を表現することを奨励しています。私たちと一緒に、世界中の何十億人もの人々に影響を与える革新的な技術を創り出しましょう！ 

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: 

• Leads by example in contributing code, artefacts, and guidance during the execution of engagements. Writes and debugs code for complex projects and leads solution development. Delivers production quality code in association with software engineers. 

• Has a good grasp and ability to apply core software engineering principals. 

Business Management: 

• Leads ML and data-science partnerships and IP improvement. 

Customer/Partner Orientation:

• Confirms the business outcomes are feasible and practical and links the approach employed to the business outcomes. Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective. 

You will embody our and .