In the Microsoft Industry Solutions Engineering (ISE) team, you won’t just build software; you’ll deliver real outcomes for some of the world’s most complex organizations.
We are a global team of world-class engineers who have been working in a Forward Deployed Engineering (FDE) model for more than a decade, embedding directly within customer teams to solve their toughest challenges, side-by-side, and shipping production-ready solutions in days, not months.
As a Principal Data Scientist, you will be a customer embedded engineer to serve as the primary technical leader aligned to a strategic account, driving business outcomes through hands on execution and multidisciplinary expertise. In this role, you will build and ship production grade solutions, work directly with customers to translate business needs into clear technical approaches, and operate with speed in complex, fast moving environments. This is a senior individual contributor role requiring strong technical depth, credibility with senior stakeholders, industry context, and an entrepreneurial approach to navigating ambiguity and delivering sustained impact over time.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
- Drive customer outcomes by shaping opportunities and translating business needs into clear, actionable technical approaches
- Build and deliver production-grade solutions in customer environments, demonstrating strong engineering execution and end-to-end ownership
- Accelerate time to value by operating effectively in ambiguity and delivering iterative, high-impact solutions
- Engage and influence senior stakeholders to build trust, align priorities, and guide technical and business decision-making
- Apply industry and customer context to tailor solutions and move beyond generic approaches
- Prepare and transition work to FDE crews with clear scope and strong technical direction, maintaining continuity across the engagement lifecycle
- Operate with an entrepreneurial mindset to navigate complex account dynamics, set boundaries, and drive urgency and accountability.
- Embody our culture and values.
Qualifications
Required/Minimum Qualifications (RQs/MQs)
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years 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, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying s statistical techniques and reporting results)
OR equivalent experience.
5+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Fluency in Japanese and English language skills.
Additional or Preferred Qualifications (PQs)
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
OR related field AND 8+ years 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,
OR related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science,
OR related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
Enjoy travel and are comfortable with travel up to 25%
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!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. In our team, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It’s an informal and flexible work environment and you’ll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
#FDE
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Doctorate/Master's/Bachelor's in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field with corresponding years of data-science experience (Doctorate+5, Master's+7, Bachelor's+10) or equivalent experience.
- Experience managing structured and unstructured data, applying statistical techniques, and reporting results.
- 5+ years customer-facing, project-delivery, professional services, and/or consulting experience.
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- Fluency in Japanese and English.
- Experience building and delivering production-grade solutions with end-to-end engineering ownership.
- Willingness and ability to travel up to 25%.
- Preferred: higher seniority/experience thresholds (Doctorate+8, Master's+10, Bachelor's+12) or equivalent experience.
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
