Role at a glance
- Salary
- $142.8K – $274.8K/yr
- Location
- Multiple Locations, United States United States
- Work arrangement
- On-site
- Employment
- Full-time
- Education
- Bachelor's, Master's, PhD
- Visa support
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
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Role Summary
The Principal Data Scientist works in Microsoft’s Frontier Company Engineering team using a Forward Deployed Engineering model, embedding with customer teams to deliver production-ready data and AI solutions. The role develops models, runs experiments, and supports evidence-based decisions through small multidisciplinary crews working with engineers, product managers, and domain experts.
What You'll Do
- Oversee acquisition, formatting, and documentation of project datasets while addressing data gaps and driving ethics and privacy...
- Evaluate models using metrics tied to business outcomes, recommend improvements, develop operational models at scale, and identify new...
- Research industry trends and technologies, contribute to strategy and thought leadership, and write extensible code across multiple...
- Define business, customer, and solution strategy goals and partner with other teams to identify and explore opportunities.
- Coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross-discipline team.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Doctorate, master's degree, or bachelor's degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or a related field, with 3+, 5+, or 7+ years of data-science experience respectively, or equivalent experience.
Required
- Managing structured and unstructured data
- Applying statistical techniques
- Reporting results
Preferred
- Experience partnering directly with customers or internal stakeholders to deliver solutions end-to-end.
- 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Comfortable with travel up to 25% (role dependent)
Original job description
Content provided by the employer
Original job description
Content provided by the employer
In the Microsoft Frontier Company Engineering 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 help transform how organizations use data, developing models, running experiments, and driving evidence-based decisions that have measurable business impact. You’ll work in small, multidisciplinary crews alongside engineers, product managers, and domain experts, owning the full lifecycle from data discovery through to deployed solutions.
Our work is powered by AI, applying the mindset and tooling across the entire development lifecycle to move from idea to production in days while maintaining the highest standards of security, quality, and trust.
This role offers the opportunity to:
Work with messy, real-world datasets and turn them into scalable, production-ready solutions
Run experiments that directly influence business strategy and customer outcomes
Collaborate with leading global organizations across industries
Apply the latest advancements in AI and data science to solve problems at scale
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
You will oversee acquisition of the data sets necessary for your project delivery and ensure data is properly formatted and described. You will address any gaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
You will evaluate your team’s models using metrics tied to genuine business outcomes and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You’ll also conduct thorough reviews of data analysis and modeling techniques and identify and invent new evaluation methods.
You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership in best practices. You’ll also write extensible code that spans multiple features and develops expertise in proper debugging techniques.
You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You’ll also commit to a customer-oriented focus by acknowledging their needs and offering customer pragmatic solutions that align with their data capabilities.
As the expert data scientist, you will also coach engineers and cross-disciplinary partners in data science best practices and scale knowledge within the cross discipline team.
Qualifications
Required/minimum qualifications
- Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ 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 5+ 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 7+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.
Other Requirements
- Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties.
Additional or preferred qualifications
- 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 8+ 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.
- 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
- Comfortable with travel up to 25% (role dependent)
#FDE
Data Science IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
About the company
Microsoft
Large Enterprise
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.
Microsoft is a global technology leader that empowers individuals and organizations to achieve more through innovative software, services, and devices. Founded in 1975, the company is best known for its flagship products like the Windows operating system and Microsoft Office suite. In addition to personal computing, Microsoft is a leader in cloud computing with its Azure platform, providing a range of solutions for businesses to enhance productivity and efficiency. With a strong commitment to sustainability and accessibility, Microsoft continues to drive technological advancements that shape the future of work and learning.