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About the Role

The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers to leverage the latest technologies and solve their toughest challenges. We collaborate with customer engineers to develop cloud-based solutions, working with Microsoft product teams, partners, and open-source communities. This role involves developing broadly applicable, high-impact solution patterns and open-source software assets. As a Principal Data Scientist, you will drive high-impact engineering projects, transforming customer missions using AI and cloud solutions. You will be part of a cross-functional team, working with strategic customers and their engineers to build innovative solutions, solve business problems, contribute to open source, and collaborate with Microsoft product teams.

Responsibilities

Oversee data acquisition and ensure data is properly formatted and described.
Coach engineers in data cleaning and analysis best practices.
Identify gaps in current data sets.
Drive ethics and privacy discussions around data collection and preparation.
Evaluate team's models and recommend improvements.
Drive best practices for models.
Develop operational models that run at scale.
Conduct thorough reviews of data analysis and modeling techniques.
Identify and invent new evaluation methods.
Research and maintain deep knowledge of industry trends and technologies.
Identify strategy opportunities and contribute to thought leadership best practices.
Write extensible code that spans multiple features.
Develop expertise in proper debugging techniques.
Define business, customer, and solution strategy goals.
Partner with other teams to identify and explore new opportunities.
Acknowledge customer needs and offer pragmatic solutions aligned with their data capabilities.
Embody culture and values.

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results).
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).
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 statistical techniques and reporting results).
Equivalent experience.
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).
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).
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).
3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
Comfortable with travel up to 25%.

Skills

Data Science
Data Management
Statistical Techniques
Data Analysis
AI
Cloud Solutions
Extensible Code Development
Debugging Techniques

Location

U.S.

Work Type

Onsite
Travel up to 25%

Experience Level

Principal
5+ years
7+ years
10+ years
8+ years
12+ years

Education Level

Doctorate
Master's Degree
Bachelor's Degree

Salary/Compensations

USD $119,800 - $234,700 per year (U.S. typical base pay)
USD $160,200 - $261,000 per year (San Francisco Bay area and New York City metropolitan area)

Benefits

Competitive package including a wide range of benefits built around personal needs.

About the Company

Microsoft’s mission is to empower every person and every organization on the planet to achieve more.
Employees come together with a growth mindset, innovate to empower others, and collaborate to realize shared goals.
Culture of inclusion where everyone can thrive at work and beyond, built on values of respect, integrity, and accountability.
Embracing a growth mindset, inspiring excellence, and encouraging unique viewpoints.
Seeking people with a passion for the positive impact technology can have on communities and for making a difference in the world.
Wide range of backgrounds, perspectives, personal and cultural experiences are vital to success.
Informal and flexible work environment.

Equal Opportunity

Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.
Considered regardless of criminal histories, consistent with legal requirements.
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.